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.
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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Wang, J., Kim, I., Rana, S.B. (2022). Optimal Strategy for Autonomous-Vehicle-Dedicated Lane Deployment on Freeway with City Planning and Market as Driving Force. In: Martins, A.L., Ferreira, J.C., Kocian, A. (eds) Intelligent Transport Systems. INTSYS 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 426. Springer, Cham. https://doi.org/10.1007/978-3-030-97603-3_15
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DOI: https://doi.org/10.1007/978-3-030-97603-3_15
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