Woodman, Roger, Hill, William D., Birrell, Stewart A. and Higgins, Matthew D. (2019) An evolutionary approach to the optimisation of autonomous pod distribution for application in an urban transportation service. In: 2019 23rd International Conference on Mechatronics Technology (ICMT), Salerno, Italy, 23-26 Oct 2019. Published in: 2019 23rd International Conference on Mechatronics Technology (ICMT) pp. 1-6. ISBN 9781728139982. doi:10.1109/ICMECT.2019.8932138
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Abstract
For autonomous vehicles (AVs), which when deployed in urban areas are called “pods”, to be used as part of a commercially viable low-cost urban transport system, they will need to operate efficiently. Among ways to achieve efficiency, is to minimise time vehicles are not serving users. To reduce the amount of wasted time, this paper presents a novel approach for distribution of AVs within an urban environment. Our approach uses evolutionary computation, in the form of a genetic algorithm (GA), which is applied to a simulation of an intelligent transportation service, operating in the city of Coventry, UK. The goal of the GA is to optimise distribution of pods, to reduce the amount of user waiting time. To test the algorithm, real-world transport data was obtained for Coventry, which in turn was processed to generate user demand patterns. Results from the study showed a 30% increase in the number of successful journeys completed in a 24 hours, compared to a random distribution. The implications of these findings could yield significant benefits for fleet management companies. These include increases in profits per day, a decrease in capital cost, and better energy efficiency. The algorithm could also be adapted to any service offering pick up and drop of points, including package delivery and transportation of goods.
| Item Type: | Conference Item (Paper) |
|---|---|
| Subjects: | T Technology > TE Highway engineering. Roads and pavements 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): | Automated vehicles, Intelligent transportation systems , Motor vehicle fleets -- Management |
| Journal or Publication Title: | 2019 23rd International Conference on Mechatronics Technology (ICMT) |
| Publisher: | IEEE |
| ISBN: | 9781728139982 |
| Book Title: | 2019 23rd International Conference on Mechatronics Technology (ICMT) |
| Official Date: | 16 December 2019 |
| Dates: | Date Event 16 December 2019 Published 15 August 2019 Accepted |
| Page Range: | pp. 1-6 |
| DOI: | 10.1109/ICMECT.2019.8932138 |
| Status: | Peer Reviewed |
| Publication Status: | Published |
| Re-use Statement: | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| Access rights to Published version: | Restricted or Subscription Access |
| Date of first compliant deposit: | 6 January 2020 |
| Date of first compliant Open Access: | 10 January 2020 |
| RIOXX Funder/Project Grant: | Project/Grant ID RIOXX Funder Name Funder ID |
| Conference Paper Type: | Paper |
| Title of Event: | 2019 23rd International Conference on Mechatronics Technology (ICMT) |
| Type of Event: | Conference |
| Location of Event: | Salerno, Italy |
| Date(s) of Event: | 23-26 Oct 2019 |
| URI: | https://wrap.warwick.ac.uk/131595/ |
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