The Library
A simulation study of platooning AV fleet service in shared urban environments with uncertainties
Tools
Dong, Ran, Woodman, Roger, Jennings, Paul. A., Brewerton, Simon, Birrell, Stewart A. and Higgins, Matthew D. (2021) A simulation study of platooning AV fleet service in shared urban environments with uncertainties. Transportation Engineering, 4 . 100062. doi:10.1016/j.treng.2021.100062 ISSN 2666-691X.
|
PDF
WRAP-simulation-study-platooning-AV-fleet-service-shared-urban-environments-uncertainties-Woodman-2021.pdf - Unspecified Version - Requires a PDF viewer. Download (2643Kb) | Preview |
|
PDF
WRAP-simulation-study-platooning-AV-fleet-service-shared-urban-environments-uncertainties-Woodman-2021.pdf - Published Version Embargoed item. Restricted access to Repository staff only - Requires a PDF viewer. Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. Download (1923Kb) |
Official URL: https://doi.org/10.1016/j.treng.2021.100062
Abstract
This paper conducts a simulation study of low-speed Autonomous Vehicles (AVs), referred to as “pods”, platooning in shared urban environments. The proposed on-demand transport service can help solve the “last mile” challenge and improve mobility for non-drivers, elderly, and disabled people. To help the industry understands the dynamic system for deployment, this paper provides a practical prospect for pod platooning without prior planning. We designed a simulation system for the new transport. Non-homogenous Poisson processes were adopted to simulate arrivals of user requests. A three-density-zone map was designed from real-world city layouts. Practical time and location patterns of user demand were used. The supervision cost reduction as a benefit of platooning was estimated. System performance and user experience were evaluated. We identified how deployment can influence platooning. We found that platooning can reduce supervision cost by approximately 20% and 14%, during peak times on weekdays and midday on weekends respectively.
Item Type: | Journal Article | ||||||||
---|---|---|---|---|---|---|---|---|---|
Subjects: | T Technology > TL Motor vehicles. Aeronautics. Astronautics | ||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||||
Library of Congress Subject Headings (LCSH): | Electric vehicles, Hybrid electric vehicles, Urban transportation, Uncertainty (Information theory), Monte Carlo method, Queuing theory | ||||||||
Journal or Publication Title: | Transportation Engineering | ||||||||
Publisher: | Elsevier BV | ||||||||
ISSN: | 2666-691X | ||||||||
Official Date: | June 2021 | ||||||||
Dates: |
|
||||||||
Volume: | 4 | ||||||||
Article Number: | 100062 | ||||||||
DOI: | 10.1016/j.treng.2021.100062 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||
Date of first compliant deposit: | 1 March 2021 | ||||||||
RIOXX Funder/Project Grant: |
|
||||||||
Related URLs: |
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |