Theoretical Trade-Off Between Fairness and Efficiency in the Cooperative Driving Problem for CAVs at On-Ramps

Cooperative driving is crucial for improving traffic efficiency and safety for connected and automated vehicles (CAVs), especially in traffic bottlenecks. However, most of the state-of-the-art cooperative driving strategies neglect the issue of fairness. Fairness is essential to properly allocate ro...

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Main Authors: Zimin He, Huaxin Pei, Yuqing Guo, Danya Yao, Li Li
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of Intelligent Transportation Systems
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10365497/
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author Zimin He
Huaxin Pei
Yuqing Guo
Danya Yao
Li Li
author_facet Zimin He
Huaxin Pei
Yuqing Guo
Danya Yao
Li Li
author_sort Zimin He
collection DOAJ
description Cooperative driving is crucial for improving traffic efficiency and safety for connected and automated vehicles (CAVs), especially in traffic bottlenecks. However, most of the state-of-the-art cooperative driving strategies neglect the issue of fairness. Fairness is essential to properly allocate road resources and improve the travel experience. In this paper, we focus on the fairness concerns in the on-ramp cooperative driving problem. First, we note that enhancing traffic efficiency usually leads to unfairness, but we propose solutions to balance both aspects. Using the fundamental relation in traffic flow theory, we illustrate the existence of the trade-off at congested on-ramps. We then make some modifications to the cooperative driving strategies to incorporate fairness considerations. Simulation results show that the modified strategies achieve trade-offs in agreement with the theoretical one, laying the foundation for implementing the trade-off in real-world scenarios. These findings are enlightening for the increasing research on fairness issues in cooperative driving, and contribute to the optimization of traffic management strategies.
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spelling doaj.art-50de3e00ae9e444f8731f3db9742dabb2024-01-10T00:06:18ZengIEEEIEEE Open Journal of Intelligent Transportation Systems2687-78132024-01-015415410.1109/OJITS.2023.334421610365497Theoretical Trade-Off Between Fairness and Efficiency in the Cooperative Driving Problem for CAVs at On-RampsZimin He0https://orcid.org/0000-0001-9505-2628Huaxin Pei1https://orcid.org/0000-0003-4815-2778Yuqing Guo2Danya Yao3https://orcid.org/0000-0001-5032-6322Li Li4https://orcid.org/0000-0002-9428-1960Department of Automation, Tsinghua University, Beijing, ChinaDepartment of Automation, Tsinghua University, Beijing, ChinaDepartment of Automation, Tsinghua University, Beijing, ChinaDepartment of Automation, BNRist, Tsinghua University, Beijing, ChinaDepartment of Automation, Tsinghua University, Beijing, ChinaCooperative driving is crucial for improving traffic efficiency and safety for connected and automated vehicles (CAVs), especially in traffic bottlenecks. However, most of the state-of-the-art cooperative driving strategies neglect the issue of fairness. Fairness is essential to properly allocate road resources and improve the travel experience. In this paper, we focus on the fairness concerns in the on-ramp cooperative driving problem. First, we note that enhancing traffic efficiency usually leads to unfairness, but we propose solutions to balance both aspects. Using the fundamental relation in traffic flow theory, we illustrate the existence of the trade-off at congested on-ramps. We then make some modifications to the cooperative driving strategies to incorporate fairness considerations. Simulation results show that the modified strategies achieve trade-offs in agreement with the theoretical one, laying the foundation for implementing the trade-off in real-world scenarios. These findings are enlightening for the increasing research on fairness issues in cooperative driving, and contribute to the optimization of traffic management strategies.https://ieeexplore.ieee.org/document/10365497/cooperative drivingon-ramp scenariofairness and efficiency
spellingShingle Zimin He
Huaxin Pei
Yuqing Guo
Danya Yao
Li Li
Theoretical Trade-Off Between Fairness and Efficiency in the Cooperative Driving Problem for CAVs at On-Ramps
IEEE Open Journal of Intelligent Transportation Systems
cooperative driving
on-ramp scenario
fairness and efficiency
title Theoretical Trade-Off Between Fairness and Efficiency in the Cooperative Driving Problem for CAVs at On-Ramps
title_full Theoretical Trade-Off Between Fairness and Efficiency in the Cooperative Driving Problem for CAVs at On-Ramps
title_fullStr Theoretical Trade-Off Between Fairness and Efficiency in the Cooperative Driving Problem for CAVs at On-Ramps
title_full_unstemmed Theoretical Trade-Off Between Fairness and Efficiency in the Cooperative Driving Problem for CAVs at On-Ramps
title_short Theoretical Trade-Off Between Fairness and Efficiency in the Cooperative Driving Problem for CAVs at On-Ramps
title_sort theoretical trade off between fairness and efficiency in the cooperative driving problem for cavs at on ramps
topic cooperative driving
on-ramp scenario
fairness and efficiency
url https://ieeexplore.ieee.org/document/10365497/
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AT yuqingguo theoreticaltradeoffbetweenfairnessandefficiencyinthecooperativedrivingproblemforcavsatonramps
AT danyayao theoreticaltradeoffbetweenfairnessandefficiencyinthecooperativedrivingproblemforcavsatonramps
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