Temporal Equilibrium for Electrified Ride-Sourcing Markets Considering Charging Capacity Constraint and Driving Fatigue

34 Pages Posted: 7 Jul 2022

See all articles by Yuhao Liu

Yuhao Liu

NYU Shanghai

Zhibin Chen

Division of Engineering and Computer Science, NYU Shanghai; Center for Data Science and Artificial Intelligence, NYU Shanghai; Shanghai Key Laboratory of Urban Design and Urban Science

Chi Xie

Tongji University

Kai Liu

Dalian University of Technology

Date Written: June 25, 2022

Abstract

Electric vehicles (EVs) are now being introduced to the ride-sourcing market to catalyze the realization of sustainable transportation. Given their demand for charging, ride-sourcing EV drivers may have distinct work schedules from gasoline vehicle (GV) drivers, and thus yield significant impacts on the market supply when their penetration becomes high. Driving fatigue is another factor affecting ride-sourcing drivers’ working hours and work schedules, but has been seldom deliberated. This paper proposes an equilibrium modeling framework based on a time-expanded network to describe the work schedules of EV and GV drivers with the consideration of their driving fatigue and EVs' charging opportunities subject to the limited charging infrastructure. Specifically, a novel cost formulation is proposed to capture the impact of driving fatigue on drivers' choices of work schedules. To solve the equilibrium model, we develop a gap function-based method coupled with the column generation scheme in which a non-additive shortest path (NSP) problem appears as a subroutine. A customized multi-objective label correcting algorithm enhanced with several problem-tailored speed-up techniques is then designed to solve the NSP problem efficiently. Experimental results suggest that the speed-up techniques contribute significantly to the reduction of computational time. Numerical examples reveal that the temporal equilibrium of the electrified ride-sourcing market is moderated by the charging capacity, EV penetration, as well as the competition among drivers; and driving fatigue may yield considerable impacts on drivers' work schedules and the market performance.

Keywords: electric vehicle, ride-sourcing market, charging capacity, driving fatigue, non-additive shortest path

Suggested Citation

Liu, Yuhao and Chen, Zhibin and Xie, Chi and Liu, Kai, Temporal Equilibrium for Electrified Ride-Sourcing Markets Considering Charging Capacity Constraint and Driving Fatigue (June 25, 2022). Available at SSRN: https://ssrn.com/abstract=4146428 or http://dx.doi.org/10.2139/ssrn.4146428

Yuhao Liu

NYU Shanghai ( email )

1555 Century Ave
Shanghai, 200122
China

Zhibin Chen (Contact Author)

Division of Engineering and Computer Science, NYU Shanghai ( email )

1555 Century Ave
Shanghai, Shanghai 200122
China

Center for Data Science and Artificial Intelligence, NYU Shanghai ( email )

1555 Century Ave
Shanghai, Shanghai 200122
China

Shanghai Key Laboratory of Urban Design and Urban Science ( email )

1555 Century Ave
Shanghai, 200122
China

Chi Xie

Tongji University

Kai Liu

Dalian University of Technology ( email )

Huiying Rd
DaLian, LiaoNing, 116024
China

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