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Optimization and Comparative Analysis of Traffic Restriction Policy by Jointly Considering Carpool Exemptions

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  • Xueyan Wei

    (Jiangsu Key Laboratory of Urban ITS, Southeast University, No.2 Southeast University Road, Nanjing 211189, China
    Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing 211189, China
    School of Transportation, Southeast University, Nanjing 211189, China)

  • Weijie Yu

    (Jiangsu Key Laboratory of Urban ITS, Southeast University, No.2 Southeast University Road, Nanjing 211189, China
    Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing 211189, China
    School of Transportation, Southeast University, Nanjing 211189, China)

  • Wei Wang

    (Jiangsu Key Laboratory of Urban ITS, Southeast University, No.2 Southeast University Road, Nanjing 211189, China
    Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing 211189, China
    School of Transportation, Southeast University, Nanjing 211189, China)

  • De Zhao

    (Jiangsu Key Laboratory of Urban ITS, Southeast University, No.2 Southeast University Road, Nanjing 211189, China
    Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing 211189, China
    School of Transportation, Southeast University, Nanjing 211189, China)

  • Xuedong Hua

    (Jiangsu Key Laboratory of Urban ITS, Southeast University, No.2 Southeast University Road, Nanjing 211189, China
    Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing 211189, China
    School of Transportation, Southeast University, Nanjing 211189, China)

Abstract

As a countermeasure to urban exhaust pollution and traffic congestion, traffic restriction policy (TRP) and carpooling strategy have been widely introduced throughout the world. However, their effects are largely determined by the rationality of implementing policies, and unreasonable policies make them controversial on the long-term implementation benefits. To more effectively manage traffic demand and maintain the sustainability of transportation system, it is necessary to make optimization for management policy before implementation. In this paper, the elastic demand model and equilibrium assignment model are developed under TRP. Considering the negative impact of the mandatory TRP on the public acceptance, we propose a novel TRP strategy, namely TRP with carpool exemptions (TRP-CE), that is, a proportion of high occupancy vehicles (HOV) are allowed to travel in the restricted district even if their license plate numbers are restricted. Then, a bi-level programming model is proposed to solve the optimal schemes by combining multi purposes of ensuring travel convenience, alleviating traffic congestion, and reducing the exhaust pollution. Finally, a numerical experiment is conducted to evaluate the effectiveness of proposed models and make comparative analysis between separate TRP and TRP-CE. The results indicate that TRP-CE has benefits in the following aspects: (1) Carpool exemptions provide an incentive to carpool for travelers by private cars; (2) the public acceptance of TRP is improved by introducing carpool exemptions as a compensatory mitigation strategy for mandatory TRP; (3) the implementation effect of demand management can be well achieved by joint optimization; and (4) there is no need to design and reconstruct HOV lanes for the implementation of TRP-CE, which is convenient for practical application.

Suggested Citation

  • Xueyan Wei & Weijie Yu & Wei Wang & De Zhao & Xuedong Hua, 2020. "Optimization and Comparative Analysis of Traffic Restriction Policy by Jointly Considering Carpool Exemptions," Sustainability, MDPI, vol. 12(18), pages 1-15, September.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:18:p:7734-:d:415607
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    References listed on IDEAS

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    Cited by:

    1. Leonidas G. Anthopoulos & Dimitrios N. Tzimos, 2021. "Carpooling Platforms as Smart City Projects: A Bibliometric Analysis and Systematic Literature Review," Sustainability, MDPI, vol. 13(19), pages 1-29, September.
    2. Diana P. Moreno-Palacio & Carlos A. Gonzalez-Calderon & John Jairo Posada-Henao & Hector Lopez-Ospina & Jhan Kevin Gil-Marin, 2022. "Entropy-Based Transit Tour Synthesis Using Fuzzy Logic," Sustainability, MDPI, vol. 14(21), pages 1-25, November.
    3. Viacheslav Morozov & Sergei Iarkov, 2021. "Formation of the Traffic Flow Rate under the Influence of Traffic Flow Concentration in Time at Controlled Intersections in Tyumen, Russian Federation," Sustainability, MDPI, vol. 13(15), pages 1-21, July.

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