Managing mixed traffic with autonomous vehicles – a day-to-day routing allocation scheme
In presence of the emerging technology of automated vehicles, it is anticipated that the future traffic system would be comprised of mixed traffic with both self-driving autonomous vehicles (AVs) and human-driven conventional vehicles. It is imperative to propose new traffic management measures to m...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/162359 |
| _version_ | 1824456555384274944 |
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| author | Guo, Zhihong Wang, David Zhi Wei Wang, Danwei |
| author2 | School of Civil and Environmental Engineering |
| author_facet | School of Civil and Environmental Engineering Guo, Zhihong Wang, David Zhi Wei Wang, Danwei |
| author_sort | Guo, Zhihong |
| collection | NTU |
| description | In presence of the emerging technology of automated vehicles, it is anticipated that the future traffic system would be comprised of mixed traffic with both self-driving autonomous vehicles (AVs) and human-driven conventional vehicles. It is imperative to propose new traffic management measures to manage the future traffic system, as complement of the existing ones such as road pricing schemes. This study seeks to take advantage of the controllable property of AVs’ routing choices to develop a day-to-day routing allocation scheme for a certain number of autonomous vehicles so as to drive the mixed traffic system into a desired traffic state. Specifically, we assume that all travelers are bounded rational and AV users are willing to accept route allocation with route travel cost not exceeding HV users’ indifference band. Therefore, the best-case bounded rationality user equilibrium (BRUE) flow pattern is in principle the most desirable traffic state out of all the BRUE solutions. This study proposes a day-to-day AVs’ routing allocation scheme by which the traffic system would be directed to evolve towards the desired best-case BRUE. The day-to-day traffic dynamics of HVs are proposed to follow a general framework, which can be further proved to be the BRUE rational behavior adjustment process (BRUE-RBAP). The condition for convergence is investigated under general assumptions. Numerical examples are provided to demonstrate the effectiveness of this traffic management scheme. |
| first_indexed | 2025-02-19T03:55:58Z |
| format | Journal Article |
| id | ntu-10356/162359 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:55:58Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | ntu-10356/1623592022-10-17T02:28:02Z Managing mixed traffic with autonomous vehicles – a day-to-day routing allocation scheme Guo, Zhihong Wang, David Zhi Wei Wang, Danwei School of Civil and Environmental Engineering School of Electrical and Electronic Engineering Engineering::Civil engineering Autonomous Vehicles Optimal Control In presence of the emerging technology of automated vehicles, it is anticipated that the future traffic system would be comprised of mixed traffic with both self-driving autonomous vehicles (AVs) and human-driven conventional vehicles. It is imperative to propose new traffic management measures to manage the future traffic system, as complement of the existing ones such as road pricing schemes. This study seeks to take advantage of the controllable property of AVs’ routing choices to develop a day-to-day routing allocation scheme for a certain number of autonomous vehicles so as to drive the mixed traffic system into a desired traffic state. Specifically, we assume that all travelers are bounded rational and AV users are willing to accept route allocation with route travel cost not exceeding HV users’ indifference band. Therefore, the best-case bounded rationality user equilibrium (BRUE) flow pattern is in principle the most desirable traffic state out of all the BRUE solutions. This study proposes a day-to-day AVs’ routing allocation scheme by which the traffic system would be directed to evolve towards the desired best-case BRUE. The day-to-day traffic dynamics of HVs are proposed to follow a general framework, which can be further proved to be the BRUE rational behavior adjustment process (BRUE-RBAP). The condition for convergence is investigated under general assumptions. Numerical examples are provided to demonstrate the effectiveness of this traffic management scheme. Ministry of Education (MOE) This work is supported by Singapore Ministry of Education Academic Research Fund MOE2021-T1-002-062. 2022-10-17T02:28:02Z 2022-10-17T02:28:02Z 2022 Journal Article Guo, Z., Wang, D. Z. W. & Wang, D. (2022). Managing mixed traffic with autonomous vehicles – a day-to-day routing allocation scheme. Transportation Research Part C: Emerging Technologies, 140, 103726-. https://dx.doi.org/10.1016/j.trc.2022.103726 0968-090X https://hdl.handle.net/10356/162359 10.1016/j.trc.2022.103726 2-s2.0-85130617064 140 103726 en MOE2021-T1-002-062 Transportation Research Part C: Emerging Technologies © 2022 Elsevier Ltd. All rights reserved. |
| spellingShingle | Engineering::Civil engineering Autonomous Vehicles Optimal Control Guo, Zhihong Wang, David Zhi Wei Wang, Danwei Managing mixed traffic with autonomous vehicles – a day-to-day routing allocation scheme |
| title | Managing mixed traffic with autonomous vehicles – a day-to-day routing allocation scheme |
| title_full | Managing mixed traffic with autonomous vehicles – a day-to-day routing allocation scheme |
| title_fullStr | Managing mixed traffic with autonomous vehicles – a day-to-day routing allocation scheme |
| title_full_unstemmed | Managing mixed traffic with autonomous vehicles – a day-to-day routing allocation scheme |
| title_short | Managing mixed traffic with autonomous vehicles – a day-to-day routing allocation scheme |
| title_sort | managing mixed traffic with autonomous vehicles a day to day routing allocation scheme |
| topic | Engineering::Civil engineering Autonomous Vehicles Optimal Control |
| url | https://hdl.handle.net/10356/162359 |
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