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Stochastic Transportation Network Considering ATIS with the Information of Environmental Cost

Author

Listed:
  • Qiang Tu

    (School of Transportation, Southeast University, Nanjing 211189, China)

  • Lin Cheng

    (School of Transportation, Southeast University, Nanjing 211189, China)

  • Dawei Li

    (School of Transportation, Southeast University, Nanjing 211189, China
    Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, China
    Collaborative Innovation Center of Modern Urban Traffic, Southeast University, Nanjing 211189, China)

  • Jie Ma

    (School of Transportation, Southeast University, Nanjing 211189, China)

  • Chao Sun

    (School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China)

Abstract

The environment problem is a sustainable hot topic in the field of transportation research. With higher awareness of the environment problem, travelers tend to choose more environment friendly traffic modes and travel routes. However, for motor vehicle drivers, the environmental cost is an implicit cost, which is not easily perceived. With the help of the advanced traveler information system (ATIS), a fresh scheme was proposed to reduce the environmental cost of the transportation network, which incorporates the information of environmental cost into ATIS to guide drivers to choose more environment-friendly routes. To test the validity of the scheme, we adopted the theory of stochastic network user equilibrium to assign two classes of drivers on the transportation network and analyzed the impact on environmental cost after applying this scheme. Mathematically, a mixed stochastic user equilibrium (SUE) model was proposed to analyze this scheme. The corresponding algorithm was also proposed. Both the model and algorithm were tested in the numerical examples. Through the examples, the validity and feasibility of our proposed scheme were also identified. Our research provided some new ideas for traffic planners and managers to reduce environmental costs caused by traffic.

Suggested Citation

  • Qiang Tu & Lin Cheng & Dawei Li & Jie Ma & Chao Sun, 2018. "Stochastic Transportation Network Considering ATIS with the Information of Environmental Cost," Sustainability, MDPI, vol. 10(11), pages 1-16, October.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:11:p:3861-:d:177969
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    References listed on IDEAS

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    Cited by:

    1. Mariano Gallo & Mario Marinelli, 2020. "Sustainable Mobility: A Review of Possible Actions and Policies," Sustainability, MDPI, vol. 12(18), pages 1-39, September.

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