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Impacts of energy consumption and emissions on the trip cost without late arrival at the equilibrium state

Author

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  • Tang, Tie-Qiao
  • Wang, Tao
  • Chen, Liang
  • Shang, Hua-Yan

Abstract

In this paper, we apply a car-following model, fuel consumption model, emission model and electricity consumption model to explore the influences of energy consumption and emissions on each commuter’s trip costs without late arrival at the equilibrium state. The numerical results show that the energy consumption and emissions have significant impacts on each commuter’s trip cost without late arrival at the equilibrium state. The fuel cost and emission cost prominently enhance each commuter’s trip cost and the trip cost increases with the number of vehicles, which shows that considering the fuel cost and emission cost in the trip cost will destroy the equilibrium state. However, the electricity cost slightly enhances each commuter’s trip cost, but the trip cost is still approximately a constant, which indicates that considering the electricity cost in the trip cost does not destroy the equilibrium state.

Suggested Citation

  • Tang, Tie-Qiao & Wang, Tao & Chen, Liang & Shang, Hua-Yan, 2017. "Impacts of energy consumption and emissions on the trip cost without late arrival at the equilibrium state," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 341-349.
  • Handle: RePEc:eee:phsmap:v:479:y:2017:i:c:p:341-349
    DOI: 10.1016/j.physa.2017.03.019
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    Cited by:

    1. Qiao, Yanfeng & Xue, Yu & Cen, Bingling & Zhang, Kun & Chen, Dong & Pan, Wei, 2024. "Study on particulate emission in two-lane mixed traffic flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 633(C).
    2. Qiao, Yan-feng & Xue, Yu & Wang, Xue & Cen, Bing-ling & Wang, Yi & Pan, Wei & Zhang, Yan-xin, 2021. "Investigation of PM emissions in cellular automata model with slow-to-start effect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    3. Yongjiang-Wang, & Han-Song, & Rongjun-Cheng,, 2019. "TDGL and mKdV equations for an extended car-following model with the consideration of driver’s memory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 515(C), pages 440-449.
    4. Cui, Nan & Chen, Bokui & Zhang, Kai & Zhang, Yi & Liu, Xiaotong & Zhou, Jun, 2019. "Effects of route guidance strategies on traffic emissions in intelligent transportation systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 32-44.
    5. Zeng, Jiao-Yan & Ou, Hui & Tang, Tie-Qiao, 2019. "Feedback strategy with delay in a two-route traffic network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    6. Wang, Xue & Xue, Yu & Cen, Bing-ling & Zhang, Peng & He, Hong-di, 2020. "Study on pollutant emissions of mixed traffic flow in cellular automaton," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    7. Leng, Jun-qiang & Zhai, Jing & Li, Qian-wen & Zhao, Lin, 2018. "Construction of road network vulnerability evaluation index based on general travel cost," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 493(C), pages 421-429.

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