Research Article
Optimal Strategy for Autonomous-Vehicle-Dedicated Lane Deployment on Freeway with City Planning and Market as Driving Force
@INPROCEEDINGS{10.1007/978-3-030-97603-3_15, author={Jun Wang and Ilsu Kim and Suleman B. Rana}, title={Optimal Strategy for Autonomous-Vehicle-Dedicated Lane Deployment on Freeway with City Planning and Market as Driving Force}, proceedings={Intelligent Transport Systems. 5th EAI International Conference, INTSYS 2021, Virtual Event, November 24-26, 2021, Proceedings}, proceedings_a={INTSYS}, year={2022}, month={3}, keywords={Autonomous vehicles Transportation modeling City planning}, doi={10.1007/978-3-030-97603-3_15} }- Jun Wang
Ilsu Kim
Suleman B. Rana
Year: 2022
Optimal Strategy for Autonomous-Vehicle-Dedicated Lane Deployment on Freeway with City Planning and Market as Driving Force
INTSYS
Springer
DOI: 10.1007/978-3-030-97603-3_15
Abstract
This paper proposes a computationally effective mathematical procedure to deploy Autonomous Vehicle (AV)-dedicated lanes considering different AV market penetration rates and the influence of in-advance infrastructure construction behavior offered by the city planning department. With different expected AV market penetration rates, the corresponding limit of the total length of AV-dedicated lanes is put on the network to ensure the infrastructure construction moves ahead of the market performance of AVs, by improving the objective driving conditions to promote people’s willingness and enthusiasm about AVs. MSA method is used to solve the UE traffic assignment problem with two types of traffic flows. A new measure to find optimal AV-lanes deployment location is formulated by calculating and comparing the instantaneous total paired-links travel time changes iteratively. The results show that the network can benefit from the newly constructed AV-lanes when the AV market penetration rate is lower than 55% and the total network travel time might increase once the AV market penetration rate is higher than 65%. Suggestions are given for city planners on how to use planning and zoning as tools to navigate the development of AVs to improve the overall living environment.
