Taxis in road pricing zone: should they pay the congestion charge?

Jincheng, Zhu; Xiao, Feng; Liu, Xiaobo

doi:10.1002/atr.1267

Cited by 7 publications

(2 citation statements)

References 21 publications

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“…It means that there exists at least one solution for the VI program (8). Similar specific proof can be seen in [11,24].…”

Section: The Model Of Mode Split and User Equilibriummentioning

confidence: 55%

A Traffic Restriction Scheme for Enhancing Carpooling

Ding¹,

Shen²

2017

Discrete Dynamics in Nature and Society

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For the purpose of alleviating traffic congestion, this paper proposes a scheme to encourage travelers to carpool by traffic restriction. By a variational inequity we describe travelers’ mode (solo driving and carpooling) and route choice under user equilibrium principle in the context of fixed demand and detect the performance of a simple network with various restriction links, restriction proportions, and carpooling costs. Then the optimal traffic restriction scheme aiming at minimal total travel cost is designed through a bilevel program and applied to a Sioux Fall network example with genetic algorithm. According to various requirements, optimal restriction regions and proportions for restricted automobiles are captured. From the results it is found that traffic restriction scheme is possible to enhance carpooling and alleviate congestion. However, higher carpooling demand is not always helpful to the whole network. The topology of network, OD demand, and carpooling cost are included in the factors influencing the performance of the traffic system.

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“…It means that there exists at least one solution for the VI program (8). Similar specific proof can be seen in [11,24].…”

Section: The Model Of Mode Split and User Equilibriummentioning

confidence: 55%

A Traffic Restriction Scheme for Enhancing Carpooling

Ding¹,

Shen²

2017

Discrete Dynamics in Nature and Society

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“…In this section, we utilize a numerical example proposed by Zhu et al [18] to illustrate the presented model and algorithm. The road network is depicted in Figure 1 with 4 OD pairs, 6 nodes, and 14 links.…”

Section: Numerical Examplementioning

confidence: 99%

The Optimal Taxi Fleet Size Structure under Various Market Regimes When Charging Taxis with Link-Based Toll

Jincheng¹,

Shen²,

Huang³

et al. 2013

Journal of Applied Mathematics

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This paper investigates the optimal taxi fleet size structure under monopoly and oligopoly market regimes when taxis are charged with the link-based toll. We proposed a bilevel programming model to take account of the interaction between taxi fleet size and different traffic modes in the network. The upper level is to determine the optimal taxi fleet structure so as to maximize the profit of each taxi firm. The lower-level is a combined network equilibrium model (CNEM) representing the travelers' response to the equilibrium taxi fleet size structure when congestion toll is imposed on taxis. We show that the lower level problem can be formulated as an equivalent variational inequality formulation, which considers the hierarchical logit-based mode split, route choice, elastic demand, and vacant taxi distributions. The bilevel problem can be solved by an iterative heuristic solution algorithm, whereas the lower level model is solved by the block Gauss-Seidel decomposition approach together with method of successive averages. An application with numerical examples is presented to illustrate the effectiveness of the proposed model and algorithm, and some interesting findings are also provided.

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