@inproceedings{d4b550bf3bd040aa8456183aedc5bc90,
title = "Modeling the Joint Network Equilibrium with Private and Shared Autonomous Vehicles",
abstract = "This paper models the joint network equilibrium of parking and travel route choices under the mixed traffic flow with shared-autonomous vehicles (SAVs) and private autonomous vehicles (PAVs). The PAVs can drive themselves to park after dropping off travelers, while SAVs are operated by operators to serve the travelers between related origin-destination pairs. In particular, the PAV travelers have to determine the parking location choice, and travel route choice in order to minimize their travel cost and/or their travel time. The SAVs service operator will route its vehicles in order to minimize each vehicle's travel time. The joint user equilibrium of both PAVs and SAVs can be formulated as a Variational Inequalities problem (VI). The existence and uniqueness/non-uniqueness of the equilibrium are discussed. A solution approach is also presented for solving the joint equilibrium.",
author = "Zhuoye Zhang and Fangni Zhang and Wei Liu",
note = "Publisher Copyright: {\textcopyright} ASCE.; 22nd COTA International Conference of Transportation Professionals, CICTP 2022 ; Conference date: 08-07-2022 Through 11-07-2022",
year = "2022",
month = jul,
doi = "10.1061/9780784484265.252",
language = "English",
series = "CICTP 2022: Intelligent, Green, and Connected Transportation - Proceedings of the 22nd COTA International Conference of Transportation Professionals",
publisher = "American Society of Civil Engineers (ASCE)",
pages = "2680--2692",
editor = "Shanjiang Zhu and Junfeng Jiao and Hongqi Tian and Guangjun Gao and Xiaokun Wang and Yinggui Zhang and Pu Wang and Helai Huang",
booktitle = "CICTP 2022",
address = "United States",
}