PRE2020 1 Group3: Difference between revisions

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'''Vehicle Routing Problem with Drones for Last Mile Delivery''' <ref> [https://www.sciencedirect.com/science/article/pii/S2351978920304054 / Vehicle Routing Problem with Drones for Last Mile Delivery. Kitjacharoenchai, P., Seokcheon, L. (2019) ] </ref> This paper does research on the efficiency of the 'last mile delivery', which means that a truck drives within a mile of the delivery address and then a drone departs from that truck and delivers the package.
'''Vehicle Routing Problem with Drones for Last Mile Delivery''' <ref> [https://www.sciencedirect.com/science/article/pii/S2351978920304054 / Vehicle Routing Problem with Drones for Last Mile Delivery. Kitjacharoenchai, P., Seokcheon, L. (2019) ] </ref> This paper does research on the efficiency of the 'last mile delivery', which means that a truck drives within a mile of the delivery address and then a drone departs from that truck and delivers the package.


'''An adapted TPB approach to consumers’ acceptance of service-delivery drones''' <ref> [https://doi.org/10.1080/09537325.2016.1242720  Zahy B. Ramadan, Maya F. Farah & Mona Mrad (2017) An adapted TPB approach to consumers’ acceptance of service-delivery drones, Technology Analysis & Strategic Management, 29:7, 817-828] </ref>
'''An adapted TPB approach to consumers’ acceptance of service-delivery drones''' <ref> [https://doi.org/10.1080/09537325.2016.1242720  Zahy B. Ramadan, Maya F. Farah & Mona Mrad (2017) An adapted TPB approach to consumers’ acceptance of service-delivery drones, Technology Analysis & Strategic Management, 29:7, 817-828] </ref> This paper discusses consumers' acceptance of drones for service-delivery technology by applying the theory of planned behaviour (TPB). It names consumers' perceived risks of drones' usage as well as potential functional benefits, and the relational attribute to the drone.


= Who is doing what? =
= Who is doing what? =

Revision as of 19:56, 5 September 2020

Group members

Name Student ID Department Email address
Roel den Hoet 1248170 Computer Science and Engineering r.d.hoet@student.tue.nl
Rick Peeters 1021754 Mechanical Engineering r.peeters@student.tue.nl
Mayra van der Pol 1010569 Psychology & Technology m.h.e.m.v.d.pol@student.tue.nl
Emmy van der Ree 1244223 Biomedical Engineering -

Problem statement and objectives

Users

Approach & Milestones

As mentioned above the goal of this project is to create an anti-collision system for drones that can deliver packages at home. To do this, at first all group members will do a literature study to get familiar with current developments in this area. After that the problem can be more specified, for example how far the maximum travelling distance is and what the minimum and maximum flight height is.

When the problem statement and goal of the project is clear, a model will be created to simulate the package delivering performed by these drones. For this a Matlab script will be created where the goal of each drone is to move from A to B as fast as possible, without hitting other drones. The model will then be expanded to make sure that these drones will also avoid other obstacles, like birds or electricity lines.

A provisionally planning for the project can be found below.

Planning pic.PNG

Deliverables

State of the Art

How reliable does a delivery drone have to be? [1] When a delivery drone fails, it can severely impact the people near it. However, setting a concrete reliability goal for delivery drones is not easy. Multiple sensors on the drone can fail at any moment, leading to dangerous situations. Companies need to take costs, public safety and technological options into consideration when setting a reliability goal.

Logistic deliveries with Drones. State of the art of practice and research. [2] In this paper, the current status of delivery drones is discussed. The authors look at previous tests with drones within the medical and logistic sections. The current state of the research regarding drones is also evaluated. The authors conclude that drones are only able to replace traditional transport methods in very special situations, as there are still too many negatives for drone delivery to work perfectly.

Analysis of Amazon Prime Air UAV Delivery Service. [3] This paper analyses the status of the Amazon Prime Air drones. Different aspects of the drone are discussed, such as its specifications, the delivery costs using the drones and the current regulations concerning drones.

Drones as a Threat to Wildlife: YouTube Complements Science in Providing Evidence about Their Effect [4] This paper discusses the effect of drone usage on the behavior of wildlife in the area by analyzing YouTube videos made by drones.

International Commercial Drone Regulation and Drone Delivery Services [5] This paper discusses the laws concerning drones in different countries with regards to required licenses and line-of-sight regulations.

Amazon’s Drone Patents [6] This paper discusses the drone patents granted to Amazon regarding concepts for delivery drones. This includes patents for aircraft design, safety systems and methods for transferring goods from the air to the ground.

Energy use and life cycle greenhouse gas emissions of drones for commercial package delivery [7] In this paper the energy consumption and the greenhouse emissions of a delivery drone system are discussed.

Strategic Design for Delivery with Trucks and Drones [8] This paper elaborates an investigation where multiple drones are deployed from trucks to deliver packages, and compare this to the case where only trucks are used to deliver packages.

Coordinated logistics with a truck and a drone [9] In this paper the efficiency of a system where a drone departs and returns from a moving truck to deliver a package is investigated.

Drone Delivery Models for Healthcare [10] This paper investigates the use of delivery drones specifically for healthcare applications. Especially for developing countries this could be interesting since only a third of all Africans live within 2 kilometres of a road that is functional all year. Deploying drones for delivery could thus potentially save lives.

Framework for Autonomous Movement of Drones [11] In this paper a test is elaborated how good the delivery by drone is. Practical considerations such as electromagnetic interference, weather conditions, range, capacity and construction are all elaborated.

Vehicle Routing Problem with Drones for Last Mile Delivery [12] This paper does research on the efficiency of the 'last mile delivery', which means that a truck drives within a mile of the delivery address and then a drone departs from that truck and delivers the package.

An adapted TPB approach to consumers’ acceptance of service-delivery drones [13] This paper discusses consumers' acceptance of drones for service-delivery technology by applying the theory of planned behaviour (TPB). It names consumers' perceived risks of drones' usage as well as potential functional benefits, and the relational attribute to the drone.

Who is doing what?

Week 1

Name Total hours Tasks
Emmy 0 Tasks
Mayra 0 Tasks
Rick 5 Watched lectures [1 h], Brainstrom session [1.5h], Reading papers [2 h] and making the planning [0.5 h]
Roel 5.5 Watched introductory videos [0.5h], Introductory lecture [0.5h], Brainstorm session [1.5h], Researched papers and wrote summaries [3h]

References