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Environmental Protection in Scenic Areas: Traffic Scheme for Clean Energy Vehicles Based on Multi-agent

Author

Listed:
  • Lei Li

    (Tianjin University)

  • Wenting Liu

    (Tianjin University)

  • Lindi Xiao

    (Tianjin University)

  • Hui Sun

    (Tianjin University)

  • Shi Wang

    (Carnegie Mellon University)

Abstract

The low-carbon environmental protection and traffic congestion are two primary issues that people focus on highly and need to be solved efficiently. Under the circumstance, this paper designs a transportation simulation system for clean energy vehicles in scenic area based on multi-agent. From the view of introducing clean energy electric vehicles with limited funds and unlimited funds, we investigate the optimal introduction scheme and the optimal traffic scheme of clean energy vehicles to alleviate air pollution and tourist overcrowding. Combined with the specific circumstances of a famous scenic spot in China, we conduct the simulation and propose many countermeasures and suggestions to improve traffic scheme of clean energy vehicles.

Suggested Citation

  • Lei Li & Wenting Liu & Lindi Xiao & Hui Sun & Shi Wang, 2018. "Environmental Protection in Scenic Areas: Traffic Scheme for Clean Energy Vehicles Based on Multi-agent," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1069-1087, December.
    • Handle: RePEc:kap:compec:v:52:y:2018:i:4:d:10.1007_s10614-017-9790-5
    DOI: 10.1007/s10614-017-9790-5
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    References listed on IDEAS

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    1. Tian, Qiong & Huang, Hai-Jun & Yang, Hai, 2007. "Equilibrium properties of the morning peak-period commuting in a many-to-one mass transit system," Transportation Research Part B: Methodological, Elsevier, vol. 41(6), pages 616-631, July.
    2. Angelo Antoci & Marcello Galeotti & Davide Radi, 2011. "Financial Tools for the Abatement of Traffic Congestion: A Dynamical Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 38(3), pages 389-405, October.
    3. He, Xiaozheng & Guo, Xiaolei & Liu, Henry X., 2010. "A link-based day-to-day traffic assignment model," Transportation Research Part B: Methodological, Elsevier, vol. 44(4), pages 597-608, May.
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    Cited by:

    1. Malin Song & Ron Fisher, 2018. "How to Apply Advanced Statistical Analysis to Computational Economics: Methods and Insights," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1045-1052, December.

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