Legal Framework for Rear-End Crashes in Mixed-Traffic Platooning: A Matrix Game Approach

Autonomous vehicles (AV) hold great potential to increase road safety, reduce traffic congestion, and improve mobility systems. However, the deployment of AVs introduces new liability challenges when they are involved in car accidents. A new legal framework should be developed to tackle such a chall...

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Main Authors: Xu Chen, Xuan Di
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Future Transportation
Subjects:
Online Access:https://www.mdpi.com/2673-7590/3/2/25
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author Xu Chen
Xuan Di
author_facet Xu Chen
Xuan Di
author_sort Xu Chen
collection DOAJ
description Autonomous vehicles (AV) hold great potential to increase road safety, reduce traffic congestion, and improve mobility systems. However, the deployment of AVs introduces new liability challenges when they are involved in car accidents. A new legal framework should be developed to tackle such a challenge. This paper proposes a legal framework, incorporating liability rules to rear-end crashes in mixed-traffic platoons with AVs and human-propelled vehicles (HV). We leverage a matrix game approach to understand interactions among players whose utility captures crash loss for drivers according to liability rules. We investigate how liability rules may impact the game equilibrium between vehicles and whether human drivers’ moral hazards arise if liability is not designed properly. We find that compared to the no-fault liability rule, contributory and comparative rules make road users have incentives to execute a smaller reaction time to improve road safety. There exists moral hazards for human drivers when risk-averse AV players are in the car platoon.
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spelling doaj.art-0033e1b63d7d415995e6d53c3d1a73ea2023-11-18T10:30:47ZengMDPI AGFuture Transportation2673-75902023-04-013241742810.3390/futuretransp3020025Legal Framework for Rear-End Crashes in Mixed-Traffic Platooning: A Matrix Game ApproachXu Chen0Xuan Di1Department of Civil Engineering and Engineering Mechanics, Columbia University, New York, NY 10027, USADepartment of Civil Engineering and Engineering Mechanics, Columbia University, New York, NY 10027, USAAutonomous vehicles (AV) hold great potential to increase road safety, reduce traffic congestion, and improve mobility systems. However, the deployment of AVs introduces new liability challenges when they are involved in car accidents. A new legal framework should be developed to tackle such a challenge. This paper proposes a legal framework, incorporating liability rules to rear-end crashes in mixed-traffic platoons with AVs and human-propelled vehicles (HV). We leverage a matrix game approach to understand interactions among players whose utility captures crash loss for drivers according to liability rules. We investigate how liability rules may impact the game equilibrium between vehicles and whether human drivers’ moral hazards arise if liability is not designed properly. We find that compared to the no-fault liability rule, contributory and comparative rules make road users have incentives to execute a smaller reaction time to improve road safety. There exists moral hazards for human drivers when risk-averse AV players are in the car platoon.https://www.mdpi.com/2673-7590/3/2/25rear-end crashliabilitymixed traffic
spellingShingle Xu Chen
Xuan Di
Legal Framework for Rear-End Crashes in Mixed-Traffic Platooning: A Matrix Game Approach
Future Transportation
rear-end crash
liability
mixed traffic
title Legal Framework for Rear-End Crashes in Mixed-Traffic Platooning: A Matrix Game Approach
title_full Legal Framework for Rear-End Crashes in Mixed-Traffic Platooning: A Matrix Game Approach
title_fullStr Legal Framework for Rear-End Crashes in Mixed-Traffic Platooning: A Matrix Game Approach
title_full_unstemmed Legal Framework for Rear-End Crashes in Mixed-Traffic Platooning: A Matrix Game Approach
title_short Legal Framework for Rear-End Crashes in Mixed-Traffic Platooning: A Matrix Game Approach
title_sort legal framework for rear end crashes in mixed traffic platooning a matrix game approach
topic rear-end crash
liability
mixed traffic
url https://www.mdpi.com/2673-7590/3/2/25
work_keys_str_mv AT xuchen legalframeworkforrearendcrashesinmixedtrafficplatooningamatrixgameapproach
AT xuandi legalframeworkforrearendcrashesinmixedtrafficplatooningamatrixgameapproach