Developing a micro-simulation tool for autonomous connected vehicle platoons used in city logistics

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Haas, I.; Friedrich, B.: Developing a micro-simulation tool for autonomous connected vehicle platoons used in city logistics. In: Transportation Research Procedia 27 (2017), S. 1203-1210. DOI: https://doi.org/10.1016/j.trpro.2017.12.084

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/3322

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Sum total of downloads: 164




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Abstract: 
The future holds great promise for the use of autonomous vehicles. Many daily activities which require the use of extensive manpower, will soon be performed with much less human interference, if at all. City logistics is an example of one such arena, which will most surely benefit from the introduction of autonomous vehicles. Autonomous vehicles will replace human couriers in the near future, and conduct delivery tasks. Given the current trends in the freight industry, this will probably be integrated with the use of platoons, which has recently gained an increasing interest in the freight sector. In this paper we present an urban freight delivery system, which is based on the use of autonomous connected platoons. In the presented system, autonomous vehicles carry out delivery tasks, traveling from an origin depot to a customer, by joining platoons along the way, which bring them closer to their destination. Many issues can be analysed with respect to the proposed system. In this paper, we choose to focus on the travel time issue. In particular, we examine the effects different platoon configurations (total number of platoons in the network and their size) have on the travel time of the vehicles performing the delivery tasks. In order to examine the proposed system, a traffic microsimulation is used. A case study is presented, demonstrating the effects of varying the platoon number and size on the travel time. The results show a relation between the configuration of platoons and the travel time, especially with respect to the delay in intersections, and the waiting time while switching platoons. © 2017 The Authors. Published by Elsevier B.V.
License of this version: CC BY-NC-ND 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2017
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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pos. country downloads
total perc.
1 image of flag of Germany Germany 72 43.90%
2 image of flag of United States United States 49 29.88%
3 image of flag of China China 12 7.32%
4 image of flag of No geo information available No geo information available 5 3.05%
5 image of flag of Korea, Republic of Korea, Republic of 4 2.44%
6 image of flag of France France 4 2.44%
7 image of flag of Vietnam Vietnam 3 1.83%
8 image of flag of Greece Greece 2 1.22%
9 image of flag of Algeria Algeria 2 1.22%
10 image of flag of Russian Federation Russian Federation 1 0.61%
    other countries 10 6.10%

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