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Analysis of CO2 emission in traffic flow and numerical tests

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  • Zhu, Wen-Xing

Abstract

We investigated the carbon dioxide emission rate in traffic flow analytically and numerically. The emission model was derived based on Bando’s optimal velocity model with a consideration of slope. Simulations were conducted to examine the relationship between the CO2 emission rate of vehicles and slope of road, traffic density, and road length. Analysis of the results shows that some original laws of CO2 emission in traffic flow with congestion were exhibited.

Suggested Citation

  • Zhu, Wen-Xing, 2013. "Analysis of CO2 emission in traffic flow and numerical tests," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(20), pages 4787-4792.
    • Handle: RePEc:eee:phsmap:v:392:y:2013:i:20:p:4787-4792
    DOI: 10.1016/j.physa.2013.06.024
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    Citations

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    Cited by:

    1. 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).
    2. Espinoza Mondragón, Jaime & Jiménez García, José Alfredo & Medina Flores, José Martín & Vázquez López, José Antonio & Téllez Vázquez, Sandra, 2018. "Experiments simulation and design to set traffic lights’ operation rules," Transport Policy, Elsevier, vol. 67(C), pages 2-12.
    3. Yaping Dong & Jinliang Xu & Xingliang Liu & Chao Gao & Han Ru & Zhihao Duan, 2019. "Carbon Emissions and Expressway Traffic Flow Patterns in China," Sustainability, MDPI, vol. 11(10), pages 1-12, May.
    4. Andrés, Lidia & Padilla, Emilio, 2018. "Driving factors of GHG emissions in the EU transport activity," Transport Policy, Elsevier, vol. 61(C), pages 60-74.
    5. 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.
    6. Liu, Huaqing & Zheng, Pengjun & Zhu, Keqiang & Ge, Hongxia, 2015. "KdV–Burgers equation in the modified continuum model considering anticipation effect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 438(C), pages 26-31.
    7. Yang, Yichen & Cao, Tianyu & Xu, Shangzhi & Qian, Yeqing & Li, Zhipeng, 2022. "Influence of driving style on traffic flow fuel consumption and emissions based on the field data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 599(C).
    8. Zhao, Jing & Li, Peng, 2016. "An extended car-following model with consideration of speed guidance at intersections," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 1-8.
    9. Ma, Ke & Wang, Hao & Ruan, Tiancheng, 2021. "Analysis of road capacity and pollutant emissions: Impacts of Connected and automated vehicle platoons on traffic flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).
    10. Junyan Han & Xiaoyuan Wang & Gang Wang, 2022. "Modeling the Car-Following Behavior with Consideration of Driver, Vehicle, and Environment Factors: A Historical Review," Sustainability, MDPI, vol. 14(13), pages 1-27, July.

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