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Journal of Intelligent Transportation Systems
Technology, Planning, and Operations
Volume 24, 2020 - Issue 4
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Original Articles

A restricted path-based ridesharing user equilibrium

Meng LiSchool of Economics and Management, Beijing Jiaotong University, Beijing, P.R. China; ;School of Economics and Management, Beihang University, Beijing, P.R. China; ;University of Michigan Transportation Research Institute, University of Michigan, Ann Arbor, Michigan, USAView further author information
,
Xuan DiDepartment of Civil Engineering and Engineering Mechanics, Columbia University, New York, New York, USA; Correspondence[email protected]
View further author information
,
Henry X. LiuDepartment of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan, USA; ;University of Michigan Transportation Research Institute, University of Michigan, Ann Arbor, Michigan, USAView further author information
&
Hai-Jun HuangSchool of Economics and Management, Beihang University, Beijing, P.R. China; View further author information
Pages 383-403 | Received 05 May 2018, Accepted 19 Aug 2019, Published online: 13 Sep 2019

Citations (18)

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Read on this site (4)

Bing Liu, Yuxiong Ji & Oded Cats. (2023) Integrating ride-hailing services with public transport: a stochastic user equilibrium model for multimodal transport systems. Transportmetrica A: Transport Science 0:0, pages 1-29.
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Xingyuan Li, Yan Cheng, Lei Guo & Jing Bai. (2023) A link-node-based complementarity model for traffic equilibrium with ride-sharing and trunk-sharing. Transportation Letters 15:6, pages 465-489.
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Rui Yao & Shlomo Bekhor. (2022) A ridesharing simulation model that considers dynamic supply-demand interactions. Journal of Intelligent Transportation Systems 0:0, pages 1-23.
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Andrés Fielbaum. (2022) Optimizing a vehicle’s route in an on-demand ridesharing system in which users might walk. Journal of Intelligent Transportation Systems 26:4, pages 432-447.
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Articles from other publishers (14)

Hang Su, Xiaolei Wang, Wei Liu, Xiaoning Zhang & Min Xu. (2024) Modelling and accelerating the passenger evacuation process in a bi-modal system with bus and e-hailing modes after mass gathering events. Travel Behaviour and Society 35, pages 100713.
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Rui Yao & Shlomo Bekhor. (2023) A general equilibrium model for multi-passenger ridesharing systems with stable matching. Transportation Research Part B: Methodological 175, pages 102775.
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Jiaohong Xie, Yang Liu & Nan Chen. (2023) Two-Sided Deep Reinforcement Learning for Dynamic Mobility-on-Demand Management with Mixed Autonomy. Transportation Science 57:4, pages 1019-1046.
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Pengyun Chong, Min Lv, Hao Zhu & Dong Ding. (2022) A Scheme to Improve Network Performance Based on Traffic Restriction and Pricing in the Presence of Carpooling. Mathematical Problems in Engineering 2022, pages 1-13.
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André de Palma, Lucas Javaudin, Patrick Stokkink & Léandre Tarpin-Pitre. (2022) Ride-sharing with inflexible drivers in the Paris metropolitan area. Transportation.
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Heqing Tan, Muqing Du & Anthony Chen. (2022) Accelerating the gradient projection algorithm for solving the non-additive traffic equilibrium problem with the Barzilai-Borwein step size. Computers & Operations Research 141, pages 105723.
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Mohamadhossein Noruzoliaee & Bo Zou. (2022) One-to-many matching and section-based formulation of autonomous ridesharing equilibrium. Transportation Research Part B: Methodological 155, pages 72-100.
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S. Sun & W.Y. Szeto. (2021) Multi-class stochastic user equilibrium assignment model with ridesharing: Formulation and policy implications. Transportation Research Part A: Policy and Practice 145, pages 203-227.
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Xingyuan Li & Jing Bai. (2021) A Ridesharing Choice Behavioral Equilibrium Model with Users of Heterogeneous Values of Time. International Journal of Environmental Research and Public Health 18:3, pages 1197.
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Mehdi Ghatee. 2021. Metaheuristics and Optimization in Computer and Electrical Engineering. Metaheuristics and Optimization in Computer and Electrical Engineering 49 92 .
Xuan Di & Xuegang Jeff Ban. (2019) A unified equilibrium framework of new shared mobility systems. Transportation Research Part B: Methodological 129, pages 50-78.
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Rui Yao & Shlomo Bekhor. (2022) A General Equilibrium Model for Multi-Passenger Ridesharing Systems with Stable Matching. SSRN Electronic Journal.
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Jiaohong Xie, Yang Liu & Nan Chen. (2022) Two-Sided Deep Reinforcement Learning for Dynamic Mobility-on-Demand Management with Mixed-Autonomy. SSRN Electronic Journal.
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Xiaolei Wang, Lei Guo, Jun Wang, Wei Liu & Xiaoning Zhang. (2020) A Convex Programming Approach for Ridesharing User Equilibrium Under Fixed Driver/Rider Demand. SSRN Electronic Journal.
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