Abstract

Travelers decide whether to participate in ridesharing based on the trade-off between the travel time and the expense. However, it is still unclear how travelers’ values of time affect their ridesharing behaviors on the congested network. To this end, a path-based ridesharing traffic assignment model was proposed by considering travelers’ heterogenous values of time. In the proposed model, travelers are divided into several classes according to their values of time, and travelers in each class choose their travel modes and routes simultaneously which cost the least. Moreover, travelers in different classes could share the same vehicle to complete their trips together in the proposed model. This paper further discusses how the high-occupancy toll lane affects travelers’ ridesharing behaviors. Numerical results show that: (1) travelers with different values of time show differences in their ridesharing behavior; (2) the single-class ridesharing traffic assignment model may miscalculate the ridesharing scale of users; and (3) building high-occupancy toll lanes plays a positive role in promoting ridesharing for travelers with heterogeneous values of time.

Highlights

  • Urban traffic congestion, automobile exhaust pollution, and energy shortages have become common urban diseases

  • The more ridesharing passengers (RPs) there are in a vehicle, the lower are the fees for these RPs, and the more ridesharing drivers (RDs) there are on the path, the fewer RPs there are in each vehicle, the greater are the fees experienced by each RP

  • A path-based ridesharing traffic assignment model is proposed by considering travelers with heterogeneous values of time

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Summary

Introduction

Automobile exhaust pollution, and energy shortages have become common urban diseases. The shared mobility, one of the most important business models in the sharing economic, has many forms, including carsharing, ridesourcing, carpooling, taxisharing, bikesharing, scooter sharing, and ridesharing [4] Among these shared mobility services, ridesharing in particular can substantially reduce the number of single-occupancy vehicles on roads, which may ameliorate the perennial traffic congestion, as well as reduce energy consumption [5,6,7]. Ridesharing is a travel mode that can join trips of at least two participants who intend to reduce their travel cost by sharing a vehicle [8,9]. A path-based ridesharing traffic assignment model is proposed by considering travelers’ heterogenous VOTs. A more realistic ride-matching constraint is proposed to reflect the fact that travelers with different VOTs could share a same vehicle.

Literature Review
Assumptions
Model Description
Cost Functions
Driving Cost
Inconvenience Cost
Compensations of RDs and Ridesharing Fees of RPs
Path Cost Function
Nonlinear Complementarity Formulation
The Equivalent Variational Inequality Formulation and Existence of the
Numerical Experiments
Computational Result
Sensitivity Analysis
The Impact of VOTs on Ridesharing
The Impact of HOT Lane on Ridesharing
Findings
Conclusions
Full Text
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