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A Simulator for Trading Traffic Privileges by Selfish Driving Cars

  • Zhan Tu
  • , Anastasios Dimas
  • , Mehmet Necip Kurt
  • , Anastasia Mavrommati
  • , Pieter J. Mosterman
  • , Akshay Rajhans
  • , Roberto G. Valenti

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Connected autonomous vehicles are an important class of cyber-physical systems that are expected to have a major impact on society. Connectivity and autonomy in next-generation automobiles can be leveraged to improve safety and efficiency of our transportation systems. This paper presents a novel approach for incorporating individual driving preferences of vehicles in a computational framework to allow dynamic assignment and transfer of right-of-way privileges between cars as they navigate contested road segments. Dynamic priorities based on time of arrival estimates and positions in queues are used to unambiguously identify the owners of right-of-way privileges to conflict zones at any given time. A mechanism for transferring the privileges from a unique rightful owner to another car, possibly incentivized by using a shared currency, is proposed. A simulation framework using MATLAB® is developed to enable rigorous study of this mechanism across tens of thousands of simulations.

Original languageEnglish
Title of host publicationProceedings of the 2020 Spring Simulation Conference, SpringSim 2020
EditorsFernando J. Barros, Xiaolin Hu, Hamdi Kavak, Alberto A. Del Barrio
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781565553705
DOIs
StatePublished - May 2020
Externally publishedYes
Event2020 Spring Simulation Conference, SpringSim 2020 - Virtual, Fairfax, United States
Duration: 18 May 202021 May 2020

Publication series

NameProceedings of the 2020 Spring Simulation Conference, SpringSim 2020

Conference

Conference2020 Spring Simulation Conference, SpringSim 2020
Country/TerritoryUnited States
CityVirtual, Fairfax
Period18/05/2021/05/20

Keywords

  • connected autonomous vehicles
  • driving privileges
  • intelligent transportation
  • intersection management
  • right of way

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