https://cstwiki.wtb.tue.nl/index.php?title=PRE2018_4_Group7&feed=atom&action=historyPRE2018 4 Group7 - Revision history2024-03-29T04:43:22ZRevision history for this page on the wikiMediaWiki 1.39.5https://cstwiki.wtb.tue.nl/index.php?title=PRE2018_4_Group7&diff=80579&oldid=prev20175140: /* Scientific papers */2019-06-24T20:39:28Z<p><span dir="auto"><span class="autocomment">Scientific papers</span></span></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 21:39, 24 June 2019</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>4) Sojol, J.I.(2018). "Smart Bus: An Automated Passenger Counting System", ICICSA. Retrieved from https://www.researchgate.net/publication/323027620_Smart_Bus_An_Automated_Passenger_Counting_System<br \></div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>4) Sojol, J.I.(2018). "Smart Bus: An Automated Passenger Counting System", ICICSA. Retrieved from https://www.researchgate.net/publication/323027620_Smart_Bus_An_Automated_Passenger_Counting_System<br \></div></td></tr>
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<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>6) https://www.usenix.org/legacy/events/hotos03/tech/full_papers/gruteser/gruteser_html/<br \></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>6) <ins style="font-weight: bold; text-decoration: none;">Gruteser, M. (2003). "Privacy-Aware Location Sensor Networks", Boulder, CO. Retrieved from </ins>https://www.usenix.org/legacy/events/hotos03/tech/full_papers/gruteser/gruteser_html/<br \></div></td></tr>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>8) https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=9&cad=rja&uact=8&ved=2ahUKEwiR9p2Uw4HiAhWNZ1AKHUeuBI4QFjAIegQIAhAC&url=http%3A%2F%2Fwww.movetec.fi%2Fimages%2Fpdf%2FTapeswitch-tuntoreunat.pdf&usg=AOvVaw0I2j-QILXPBH48Jq9N8T_d <br\></div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>8) https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=9&cad=rja&uact=8&ved=2ahUKEwiR9p2Uw4HiAhWNZ1AKHUeuBI4QFjAIegQIAhAC&url=http%3A%2F%2Fwww.movetec.fi%2Fimages%2Fpdf%2FTapeswitch-tuntoreunat.pdf&usg=AOvVaw0I2j-QILXPBH48Jq9N8T_d <br\></div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>9) http://www.instantcounting.com/technology.html <br \></div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>9) http://www.instantcounting.com/technology.html <br \></div></td></tr>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>14) https://www-sciencedirect-com.dianus.libr.tue.nl/science/article/pii/0262885694900531<br \></div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>14) https://www-sciencedirect-com.dianus.libr.tue.nl/science/article/pii/0262885694900531<br \></div></td></tr>
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<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>16) https://patents.google.com/patent/US7788063B2/en <br \></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>16) <ins style="font-weight: bold; text-decoration: none;">Bodin, W.K. (2010). "UTILIZING GROSS VEHICLE WEIGHT TO DETERMINE PASSENGER NUMBERS", ????. Retrieved from </ins>https://patents.google.com/patent/US7788063B2/en <br \></div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>17) https://trid.trb.org/view/481481 <br \></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>17) <ins style="font-weight: bold; text-decoration: none;">Greneker III, E. (1996). "MPROVED PASSENGER COUNTER AND CLASSIFIER SYSTEM FOR TRANSIT OPERATIONS", ????. Retreived from </ins>https://trid.trb.org/view/481481 <br \></div></td></tr>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>19) https://nos.nl/artikel/2271485-ns-vrije-zitplaatsen-op-meer-trajecten-in-app-te-zien.html <br \></div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>19) https://nos.nl/artikel/2271485-ns-vrije-zitplaatsen-op-meer-trajecten-in-app-te-zien.html <br \></div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>20) https://repository.tudelft.nl/islandora/object/uuid:a67e550b-5c38-456e-9e21-90802ad36f6a?collection=education <br \></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>20) <ins style="font-weight: bold; text-decoration: none;">Lentz, S.F. (2010). "Platform Positioner: A Dutch Railways information service that motivates passengers to spread over the platform by providing a personal boarding advice.", ????. Retreived from </ins>https://repository.tudelft.nl/islandora/object/uuid:a67e550b-5c38-456e-9e21-90802ad36f6a?collection=education <br \></div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>21) https://www.researchgate.net/publication/276408492_Semisupervised_Pedestrian_Counting_With_Temporal_and_Spatial_Consistencies <br \></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>21) <ins style="font-weight: bold; text-decoration: none;">Xia, W. (2015). "Semisupervised Pedestrian Counting With Temporal and Spatial Consistencies", 10.1109/TITS.2014.2371333. Retreived from </ins>https://www.researchgate.net/publication/276408492_Semisupervised_Pedestrian_Counting_With_Temporal_and_Spatial_Consistencies <br \></div></td></tr>
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<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>23) http://www.strc.ch/2017/Bosina_EtAl.pdf <br \></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>23) <ins style="font-weight: bold; text-decoration: none;">Bosina, E. (2017). "Pedestrian flows on railway platforms", ????. Retreived from </ins>http://www.strc.ch/2017/Bosina_EtAl.pdf <br \></div></td></tr>
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<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>28) https://www.mdpi.com/1424-8220/12/10/14196 <br \></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>28) <ins style="font-weight: bold; text-decoration: none;">Versichele,M. (2012). "Mobile Mapping of Sporting Event Spectators Using Bluetooth Sensors: Tour of Flanders 2011", https://doi.org/10.3390/s121014196. Retreived from </ins>https://www.mdpi.com/1424-8220/12/10/14196 <br \></div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>29) https://www.businessinsider.nl/ns-werkt-hard-aan-zijn-reputatie-maar-er-zijn-weinig-organisaties-waar-nederlanders-zo-graag-afgeven/ (Dutch)<br /></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>29) <ins style="font-weight: bold; text-decoration: none;">Ramaer, J. (2017). "NS werkt hard aan zijn reputatie – maar er zijn weinig organisaties waar Nederlanders zo graag op afgeven". Retreived from </ins>https://www.businessinsider.nl/ns-werkt-hard-aan-zijn-reputatie-maar-er-zijn-weinig-organisaties-waar-nederlanders-zo-graag-afgeven/ (Dutch)<br /></div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>30) https://www.nsjaarverslag.nl/jaarverslag-2018/a1221_2018-in-een-notendop?fbclid=IwAR34aVXU49RdKT8YdpGI7_8ymAgmWHmFs7RtBYG2P7nnAqPpm1D1tYCezJY</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>30) https://www.nsjaarverslag.nl/jaarverslag-2018/a1221_2018-in-een-notendop?fbclid=IwAR34aVXU49RdKT8YdpGI7_8ymAgmWHmFs7RtBYG2P7nnAqPpm1D1tYCezJY</div></td></tr>
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</table>20175140https://cstwiki.wtb.tue.nl/index.php?title=PRE2018_4_Group7&diff=80558&oldid=prevS165248: /* Scientific papers */2019-06-24T19:51:24Z<p><span dir="auto"><span class="autocomment">Scientific papers</span></span></p>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>5) https://www.google.nl/url?sa=t&rct=j&q=&esrc=s&source=web&cd=21&cad=rja&uact=8&ved=2ahUKEwiCudCpgPbhAhUJr6QKHRJQBlM4ChAWMAp6BAgIEAI&url=https%3A%2F%2Fpdfs.semanticscholar.org%2F55a0%2F9a9adb1e7905f99607846f7a286e3f39bf17.pdf&usg=AOvVaw0ZK1-RYUZ15nYZshrA0cHs<br \></div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>5) https://www.google.nl/url?sa=t&rct=j&q=&esrc=s&source=web&cd=21&cad=rja&uact=8&ved=2ahUKEwiCudCpgPbhAhUJr6QKHRJQBlM4ChAWMAp6BAgIEAI&url=https%3A%2F%2Fpdfs.semanticscholar.org%2F55a0%2F9a9adb1e7905f99607846f7a286e3f39bf17.pdf&usg=AOvVaw0ZK1-RYUZ15nYZshrA0cHs<br \></div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>6) https://www.usenix.org/legacy/events/hotos03/tech/full_papers/gruteser/gruteser_html/<br \></div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>6) https://www.usenix.org/legacy/events/hotos03/tech/full_papers/gruteser/gruteser_html/<br \></div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>7) Letshwiti, V (<del style="font-weight: bold; text-decoration: none;">....</del>). "APPROPRIATE TECHNOLOGY FOR AUTOMATIC PASSENGER COUNTING ON PUBLIC TRANSPORT VEHICLES IN SOUTH AFRICA", <del style="font-weight: bold; text-decoration: none;">????</del>. Retrieved from https://www.researchgate.net/publication/267387412_APPROPRIATE_TECHNOLOGY_FOR_AUTOMATIC_PASSENGER_COUNTING_ON_PUBLIC_TRANSPORT_VEHICLES_IN_SOUTH_AFRICA <br\></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>7) Letshwiti, V (<ins style="font-weight: bold; text-decoration: none;">ND</ins>). "APPROPRIATE TECHNOLOGY FOR AUTOMATIC PASSENGER COUNTING ON PUBLIC TRANSPORT VEHICLES IN SOUTH AFRICA", <ins style="font-weight: bold; text-decoration: none;">CSIR Transportek</ins>. Retrieved from https://www.researchgate.net/publication/267387412_APPROPRIATE_TECHNOLOGY_FOR_AUTOMATIC_PASSENGER_COUNTING_ON_PUBLIC_TRANSPORT_VEHICLES_IN_SOUTH_AFRICA <br\></div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>8) https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=9&cad=rja&uact=8&ved=2ahUKEwiR9p2Uw4HiAhWNZ1AKHUeuBI4QFjAIegQIAhAC&url=http%3A%2F%2Fwww.movetec.fi%2Fimages%2Fpdf%2FTapeswitch-tuntoreunat.pdf&usg=AOvVaw0I2j-QILXPBH48Jq9N8T_d <br\></div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>8) https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=9&cad=rja&uact=8&ved=2ahUKEwiR9p2Uw4HiAhWNZ1AKHUeuBI4QFjAIegQIAhAC&url=http%3A%2F%2Fwww.movetec.fi%2Fimages%2Fpdf%2FTapeswitch-tuntoreunat.pdf&usg=AOvVaw0I2j-QILXPBH48Jq9N8T_d <br\></div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>9) http://www.instantcounting.com/technology.html <br \></div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>9) http://www.instantcounting.com/technology.html <br \></div></td></tr>
</table>S165248https://cstwiki.wtb.tue.nl/index.php?title=PRE2018_4_Group7&diff=80557&oldid=prevS165248: /* Scientific papers */2019-06-24T19:50:00Z<p><span dir="auto"><span class="autocomment">Scientific papers</span></span></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 20:50, 24 June 2019</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>2) Erden, F. (2017). "A robust system for counting people using an infrared sensor and a camera". Infrared Physics & Technology, 72. Retrieved from https://www.researchgate.net/publication/280735165_A_robust_system_for_counting_people_using_an_infrared_sensor_and_a_camera <br \></div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>2) Erden, F. (2017). "A robust system for counting people using an infrared sensor and a camera". Infrared Physics & Technology, 72. Retrieved from https://www.researchgate.net/publication/280735165_A_robust_system_for_counting_people_using_an_infrared_sensor_and_a_camera <br \></div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>3) https://www.dilax.com/en/public-mobility/portfolio/seat-management/<br \></div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>3) https://www.dilax.com/en/public-mobility/portfolio/seat-management/<br \></div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>4) Sojol, J.I.(2018). "Smart Bus: An Automated Passenger Counting System" <del style="font-weight: bold; text-decoration: none;">????</del>. Retrieved from https://www.researchgate.net/publication/323027620_Smart_Bus_An_Automated_Passenger_Counting_System<br \></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>4) Sojol, J.I.(2018). "Smart Bus: An Automated Passenger Counting System"<ins style="font-weight: bold; text-decoration: none;">, ICICSA</ins>. Retrieved from https://www.researchgate.net/publication/323027620_Smart_Bus_An_Automated_Passenger_Counting_System<br \></div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>5) https://www.google.nl/url?sa=t&rct=j&q=&esrc=s&source=web&cd=21&cad=rja&uact=8&ved=2ahUKEwiCudCpgPbhAhUJr6QKHRJQBlM4ChAWMAp6BAgIEAI&url=https%3A%2F%2Fpdfs.semanticscholar.org%2F55a0%2F9a9adb1e7905f99607846f7a286e3f39bf17.pdf&usg=AOvVaw0ZK1-RYUZ15nYZshrA0cHs<br \></div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>5) https://www.google.nl/url?sa=t&rct=j&q=&esrc=s&source=web&cd=21&cad=rja&uact=8&ved=2ahUKEwiCudCpgPbhAhUJr6QKHRJQBlM4ChAWMAp6BAgIEAI&url=https%3A%2F%2Fpdfs.semanticscholar.org%2F55a0%2F9a9adb1e7905f99607846f7a286e3f39bf17.pdf&usg=AOvVaw0ZK1-RYUZ15nYZshrA0cHs<br \></div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>6) https://www.usenix.org/legacy/events/hotos03/tech/full_papers/gruteser/gruteser_html/<br \></div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>6) https://www.usenix.org/legacy/events/hotos03/tech/full_papers/gruteser/gruteser_html/<br \></div></td></tr>
</table>S165248https://cstwiki.wtb.tue.nl/index.php?title=PRE2018_4_Group7&diff=80555&oldid=prevS165248: /* LED display tiles */2019-06-24T19:46:23Z<p><span dir="auto"><span class="autocomment">LED display tiles</span></span></p>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>LED display tiles vary in price between 50 and 200 euros, however some of the cheaper models are not sure to withstand being stepped onto.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>LED display tiles vary in price between 50 and 200 euros, however some of the cheaper models are not sure to withstand being stepped onto.</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>LED display tiles are usually 30x30 [https://www.tme.eu/nl/details/mikroe-2370/accessoires-voor-ontwikkelkits/mikroelektronika/32x32-rgb-led-matrix-panel-5mm-pitch/?brutto=1&gclid=CjwKCAjw8qjnBRA-EiwAaNvhwO4lozUZKg4D8ydjKoQ3gLdrQ5SkViXDx8fD-96iE1AZadhmUTFdDBoCaSkQAvD_BwE] [https://www.ledpaneelgroothandel.nl/led-paneel-30-30-rgbww?gclid=CjwKCAjw8qjnBRA-EiwAaNvhwKpr5Lu4D-1zS0ht7N8aCtQOFY56zfpcKyO5uS8NKmcwmmDLUJPXBBoCR8QQAvD_BwE] or 60x60 [https://www.djgear.nl/showtec-dancefloor-sparkle-rgb.html] tiles. Based on these sources, a good estimate price for a 30x30 tile would be 50 euros. Since a train compartment is 25-30 meters long, and since most train configurations include 3-6 compartments, averaging at 4-5, we could estimate 100-120 meters per train.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>LED display tiles are usually 30x30 [https://www.tme.eu/nl/details/mikroe-2370/accessoires-voor-ontwikkelkits/mikroelektronika/32x32-rgb-led-matrix-panel-5mm-pitch/?brutto=1&gclid=CjwKCAjw8qjnBRA-EiwAaNvhwO4lozUZKg4D8ydjKoQ3gLdrQ5SkViXDx8fD-96iE1AZadhmUTFdDBoCaSkQAvD_BwE] [https://www.ledpaneelgroothandel.nl/led-paneel-30-30-rgbww?gclid=CjwKCAjw8qjnBRA-EiwAaNvhwKpr5Lu4D-1zS0ht7N8aCtQOFY56zfpcKyO5uS8NKmcwmmDLUJPXBBoCR8QQAvD_BwE] or 60x60 [https://www.djgear.nl/showtec-dancefloor-sparkle-rgb.html] tiles. Based on these sources, a good estimate price for a 30x30 tile would be 50 euros. Since a train compartment is 25-30 meters long, and since most train configurations include 3-6 compartments, averaging at 4-5, we could estimate 100-120 meters per train.</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>This would mean about 300-400 tiles per train pier, and if we assume 4 piers average per station, this means about <del style="font-weight: bold; text-decoration: none;">1000 </del>tiles per station, amounting to about 50 thousand euros per station, or 20 million euros total across all stations.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>This would mean about 300-400 tiles per train pier, and if we assume 4 piers average per station, this means about <ins style="font-weight: bold; text-decoration: none;">1500 </ins>tiles per station, amounting to about 50 thousand euros per station, or 20 million euros total across all stations.</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=== Summary ===</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=== Summary ===</div></td></tr>
</table>S165248https://cstwiki.wtb.tue.nl/index.php?title=PRE2018_4_Group7&diff=80554&oldid=prevS165248: /* Infrared sensors */2019-06-24T19:45:41Z<p><span dir="auto"><span class="autocomment">Infrared sensors</span></span></p>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==== Infrared sensors ====</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==== Infrared sensors ====</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>In each carriage of a VIRM train, the plan is to install 4 bidirectional sensors (one at each end of each door to a seating area), + 1 or 2 additional sensors if the carriage is a split 1st/2nd class carriage. Bidirectional sensors are available from <del style="font-weight: bold; text-decoration: none;">$250 </del>and upwards, but, to get an upperbound on the cost, let's assume we buy them at €300. <br /></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>In each carriage of a VIRM train, the plan is to install 4 bidirectional sensors (one at each end of each door to a seating area), + 1 or 2 additional sensors if the carriage is a split 1st/2nd class carriage. Bidirectional sensors are available from <ins style="font-weight: bold; text-decoration: none;">€220 </ins>and upwards, but, to get an upperbound on the cost, let's assume we buy them at €300. <br /></div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>There are 2 types of VIRM trains still in use: the VIRM 4 trains and the VIRM 6 trains. </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>There are 2 types of VIRM trains still in use: the VIRM 4 trains and the VIRM 6 trains. </div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>The VIRM 4 has 4 compartements, of which 2 are split. Each VIRM 4 will need 19 sensors in total, making the cost €5700 per train (at €300 per sensor). The NS currently has 98 VIRM 4 trains, making the total cost for all VIRM 4 trains €558600</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>The VIRM 4 has 4 compartements, of which 2 are split. Each VIRM 4 will need 19 sensors in total, making the cost €5700 per train (at €300 per sensor). The NS currently has 98 VIRM 4 trains, making the total cost for all VIRM 4 trains €558600</div></td></tr>
</table>S165248https://cstwiki.wtb.tue.nl/index.php?title=PRE2018_4_Group7&diff=80553&oldid=prevS165248: /* App indication */2019-06-24T19:42:48Z<p><span dir="auto"><span class="autocomment">App indication</span></span></p>
<table style="background-color: #fff; color: #202122;" data-mw="interface">
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 20:42, 24 June 2019</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l271">Line 271:</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Lastly the app gives travelling advice to the user. For example see figure 6; "62% more chance for a seat in wagon 3". These messages will be live generated and can be personalized. Some examples of personalisation are seat allocation for people who travel first class, advice people in wheelchairs or drive with bikes only compartments that have such special entrences. Or if 40 people check the app at the same time, we could advice next users to board a different compartment, because not all users should board the same compartment.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Lastly the app gives travelling advice to the user. For example see figure 6; "62% more chance for a seat in wagon 3". These messages will be live generated and can be personalized. Some examples of personalisation are seat allocation for people who travel first class, advice people in wheelchairs or drive with bikes only compartments that have such special entrences. Or if 40 people check the app at the same time, we could advice next users to board a different compartment, because not all users should board the same compartment.</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>We tested the design of the app to Users, to see if users would understand the app and be able to work with it. 8 participants agreed to test out app, all participants were smartphone users. 5 participants were the age of 18 to 20 and considered themselves digital capable, 2 of them had never used NS-app. Two participants were in their 50s - one considered digitally capable, and the other considered less digitally capable, both had never used NS-app. The last participant was the age of 80, she considered herself less capable of using smartphones and had never used the NS-app. </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>We tested the design of the app to Users, to see if users would understand the app and be able to work with it. 8 participants agreed to test out <ins style="font-weight: bold; text-decoration: none;">the </ins>app, all participants were smartphone users. 5 participants were the age of 18 to 20 and considered themselves digital capable, 2 of them had never used NS-app. Two participants were in their 50s - one considered digitally capable, and the other considered less digitally capable, both had never used NS-app. The last participant was the age of 80, she considered herself less capable of using smartphones and had never used the NS-app. </div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>For the experiment the app was set up as in the example of figure 6 and asked the participants 3 questions. First question was: "If you were waiting at this station which compartment would you board?" all participants answered wagon 3. This indicates that the boarding advice is easily readable. Second question was: "If you see a lot of people on the platform waiting in front of compartment 3, which compartment would you board? 2 participant would board wagon 4, since that was next to 3 and the app indicated that wagon 4 was medium full. the other participants would board wagon 6, since that one was almost empty. This indicates to us that the capacity display of each wagon is also pretty well readable. Last question was: "What if you were in a wheelchair? What compartment would you board?". 6 participants were able to identify that the wheelchair and the bike signs were buttons and they all decided after pressing the wheelchair button to board wagon 4. The other two participants did not recognise that they could press these buttons and would have gone to a compartment without special wheelchair space. We decided to extend the app by adding text underneath the buttons to indicate that they are pressable. </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>For the experiment the app was set up as in the example of figure 6 and asked the participants 3 questions. First question was: "If you were waiting at this station which compartment would you board?" all participants answered wagon 3. This indicates that the boarding advice is easily readable. Second question was: "If you see a lot of people on the platform waiting in front of compartment 3, which compartment would you board? 2 participant would board wagon 4, since that was next to 3 and the app indicated that wagon 4 was medium full. the other participants would board wagon 6, since that one was almost empty. This indicates to us that the capacity display of each wagon is also pretty well readable. Last question was: "What if you were in a wheelchair? What compartment would you board?". 6 participants were able to identify that the wheelchair and the bike signs were buttons and they all decided after pressing the wheelchair button to board wagon 4. The other two participants did not recognise that they could press these buttons and would have gone to a compartment without special wheelchair space. We decided to extend the app by adding text underneath the buttons to indicate that they are pressable. </div></td></tr>
</table>S165248https://cstwiki.wtb.tue.nl/index.php?title=PRE2018_4_Group7&diff=80550&oldid=prevS165248: /* App indication */2019-06-24T19:42:06Z<p><span dir="auto"><span class="autocomment">App indication</span></span></p>
<table style="background-color: #fff; color: #202122;" data-mw="interface">
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 20:42, 24 June 2019</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l269">Line 269:</td>
<td colspan="2" class="diff-lineno">Line 269:</td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>From the questionnaire we also found out that train travelers would want to know where bike and wheelchair entrances are in the app. So we made a design to keep the app simple but also give this extra information. The design uses a toggle button for wheelchair and bike, when the user presses this button the coloring of the carriages changes to gray for unavailable or to blue for available. (see figure 7)</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>From the questionnaire we also found out that train travelers would want to know where bike and wheelchair entrances are in the app. So we made a design to keep the app simple but also give this extra information. The design uses a toggle button for wheelchair and bike, when the user presses this button the coloring of the carriages changes to gray for unavailable or to blue for available. (see figure 7)</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>Lastly the app gives travelling advice to the user. For example see figure 6; "62% more chance for a seat in wagon 3". These messages will be live generated and can be personalized. Some examples of personalisation are seat allocation for people who travel first class, advice people in wheelchairs or drive with bikes only compartments that have such special entrences. Or if 40 people check the app at the same time, we could advice next users to board a different <del style="font-weight: bold; text-decoration: none;">comaprtment</del>, because not all users should board the same compartment.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>Lastly the app gives travelling advice to the user. For example see figure 6; "62% more chance for a seat in wagon 3". These messages will be live generated and can be personalized. Some examples of personalisation are seat allocation for people who travel first class, advice people in wheelchairs or drive with bikes only compartments that have such special entrences. Or if 40 people check the app at the same time, we could advice next users to board a different <ins style="font-weight: bold; text-decoration: none;">compartment</ins>, because not all users should board the same compartment.</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>We tested the design of the app to Users, to see if users would understand the app and be able to work with it. 8 participants agreed to test out app, all participants were smartphone users. 5 participants were the age of 18 to 20 and considered themselves digital capable, 2 of them had never used NS-app. Two participants were in their 50s - one considered digitally capable, and the other considered less digitally capable, both had never used NS-app. The last participant was the age of 80, she considered herself less capable of using smartphones and had never used the NS-app. </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>We tested the design of the app to Users, to see if users would understand the app and be able to work with it. 8 participants agreed to test out app, all participants were smartphone users. 5 participants were the age of 18 to 20 and considered themselves digital capable, 2 of them had never used NS-app. Two participants were in their 50s - one considered digitally capable, and the other considered less digitally capable, both had never used NS-app. The last participant was the age of 80, she considered herself less capable of using smartphones and had never used the NS-app. </div></td></tr>
</table>S165248https://cstwiki.wtb.tue.nl/index.php?title=PRE2018_4_Group7&diff=80547&oldid=prevS165248: /* Data Processing */2019-06-24T19:39:17Z<p><span dir="auto"><span class="autocomment">Data Processing</span></span></p>
<table style="background-color: #fff; color: #202122;" data-mw="interface">
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 20:39, 24 June 2019</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l232">Line 232:</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>===Data Processing===</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>===Data Processing===</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[File:Uml-group7.PNG| 400px | thumb | right | Figure 3: Overview of how the system works]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[File:Uml-group7.PNG| 400px | thumb | right | Figure 3: Overview of how the system works]]</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>Knowing the needed data, an overview of how the system works can be made (figure 3). At both entrances of the seating area two bidirectional infrared sensor will be placed, as well as at the door between the first and second class seating area in certain compartments. These sensors will be capable of determining if a traveller is entering or exiting the seating area of the compartment. This means that for each compartment of the VIRM, a minimum of eight sensors will be needed at the doors to the seating area. The amount of sensors may increase if there is a first and second class compartment at the top and/ or bottom layer of the train. The total number of infrared sensors will vary per compartment from eight sensors when only second class seating is present to twelve when both first and second class seating is available at both the top and bottom level of the train compartment.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>Knowing the needed data, an overview of how the system works can be made (figure 3). At both entrances of the seating area two bidirectional infrared sensor will be placed, as well as at the door between the first and second class seating area in certain compartments. These sensors will be capable of determining if a traveller is entering or exiting the seating area of the compartment<ins style="font-weight: bold; text-decoration: none;">, so they detect the person presence and its direction</ins>. This means that for each compartment of the VIRM, a minimum of eight sensors will be needed at the doors to the seating area. The amount of sensors may increase if there is a first and second class compartment at the top and/ or bottom layer of the train. The total number of infrared sensors will vary per compartment from eight sensors when only second class seating is present to twelve when both first and second class seating is available at both the top and bottom level of the train compartment.</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>By combining the information from the infrared sensors at each end of the compartment and the sensor between first and second class, it should be possible to get an accurate number for the amount of passengers seated in each class of a compartment. This combination of infrared sensors should be capable of reliably and accurately providing information about the amount of travellers in each sitting area in real-time.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>By combining the information from the infrared sensors at each end of the compartment and the sensor between first and second class, it should be possible to get an accurate number for the amount of passengers seated in each class of a compartment. This combination of infrared sensors should be capable of reliably and accurately providing information about the amount of travellers in each sitting area in real-time.</div></td></tr>
</table>S165248https://cstwiki.wtb.tue.nl/index.php?title=PRE2018_4_Group7&diff=80546&oldid=prevS165248: /* Data Processing */2019-06-24T19:37:58Z<p><span dir="auto"><span class="autocomment">Data Processing</span></span></p>
<table style="background-color: #fff; color: #202122;" data-mw="interface">
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 20:37, 24 June 2019</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>===Data Processing===</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>===Data Processing===</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[File:Uml-group7.PNG| 400px | thumb | right | Figure 3: Overview of how the system works]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[File:Uml-group7.PNG| 400px | thumb | right | Figure 3: Overview of how the system works]]</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>Knowing the needed data, an overview of how the system works can be made (figure 3). At both <del style="font-weight: bold; text-decoration: none;">enterences </del>of the seating area two bidirectional infrared sensor will be placed, as well as at the door between the first and second class seating area in certain compartments. These sensors will be capable of determining if a traveller is entering or exiting the seating area of the compartment. This means that for each compartment of the VIRM, a minimum of eight sensors will be needed at the doors to the seating area. The amount of sensors may increase if there is a first and second class compartment at the top and/ or bottom layer of the train. The total number of infrared sensors will vary per compartment from eight sensors when only second class seating is present to twelve when both first and second class seating is available at both the top and bottom level of the train compartment.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>Knowing the needed data, an overview of how the system works can be made (figure 3). At both <ins style="font-weight: bold; text-decoration: none;">entrances </ins>of the seating area two bidirectional infrared sensor will be placed, as well as at the door between the first and second class seating area in certain compartments. These sensors will be capable of determining if a traveller is entering or exiting the seating area of the compartment. This means that for each compartment of the VIRM, a minimum of eight sensors will be needed at the doors to the seating area. The amount of sensors may increase if there is a first and second class compartment at the top and/ or bottom layer of the train. The total number of infrared sensors will vary per compartment from eight sensors when only second class seating is present to twelve when both first and second class seating is available at both the top and bottom level of the train compartment.</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>By combining the information from the infrared sensors at each end of the compartment and the sensor between first and second class, it should be possible to get an accurate number for the amount of passengers seated in each class of a compartment. This combination of infrared sensors should be capable of reliably and accurately providing information about the amount of travellers in each sitting area in real-time.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>By combining the information from the infrared sensors at each end of the compartment and the sensor between first and second class, it should be possible to get an accurate number for the amount of passengers seated in each class of a compartment. This combination of infrared sensors should be capable of reliably and accurately providing information about the amount of travellers in each sitting area in real-time.</div></td></tr>
</table>S165248https://cstwiki.wtb.tue.nl/index.php?title=PRE2018_4_Group7&diff=80545&oldid=prevS165248: /* Our solution */2019-06-24T19:36:59Z<p><span dir="auto"><span class="autocomment">Our solution</span></span></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 20:36, 24 June 2019</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>This technology however has two important downsides. The first problem is that counting errors will add up during the traject, because when a person is accidentally counted twice, the compartment will keep counting one person too much until the whole counter is reset. However we do not think that this error is a lot since the accuracy of the counting is very high and we can reset the count after each traject.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>This technology however has two important downsides. The first problem is that counting errors will add up during the traject, because when a person is accidentally counted twice, the compartment will keep counting one person too much until the whole counter is reset. However we do not think that this error is a lot since the accuracy of the counting is very high and we can reset the count after each traject<ins style="font-weight: bold; text-decoration: none;">. Also, when train personel sees that the data is not right, they could reset the count and put in the correct number</ins>.</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>The second problem is that the infrared sensors have to be cleaned regularly for them to work optimally. This can be done during the cleaning of the train when the bins get emptied, which is done regularly enough.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>The second problem is that the infrared sensors have to be cleaned regularly for them to work optimally. This can be done during the cleaning of the train when the bins get emptied, which is done regularly enough.</div></td></tr>
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