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Impacts of traffic congestion on fuel rate, dissipation and particle emission in a single lane based on Nasch Model

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  • Pan, Wei
  • Xue, Yu
  • He, Hong-Di
  • Lu, Wei-Zhen

Abstract

This paper presents simulation results of Traffic emitted particle modeling based on NaSch Model of a single lane. Three parts are constituted to the proposed model: traffic component (NaSch Model), fuel rate and dissipation component, and particle emission component. Impacts of speed limit, injection rate and extinction rate of the lane on the fuel cost and PM emission are disused in the periodic boundary condition and open boundary condition, respectively. Results from model simulation show that the critical transition point of the traffic system could also be used as a cut-off point for the change of the fuel and emission indexes. The high-speed limit was energy conservative and environmentally friendly until congestion occurred, while the low speed limit was better for smooth flowing traffic. The overall impact from the extension rate was more significant than the injection rate on all indexes, and the closer the road section was to the exit, the more fuel was consumed and the more particles were produced. The situation got better in descending order of the distance of the section to the exit.

Suggested Citation

  • Pan, Wei & Xue, Yu & He, Hong-Di & Lu, Wei-Zhen, 2018. "Impacts of traffic congestion on fuel rate, dissipation and particle emission in a single lane based on Nasch Model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 154-162.
    • Handle: RePEc:eee:phsmap:v:503:y:2018:i:c:p:154-162
    DOI: 10.1016/j.physa.2018.02.199
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    Cited by:

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    4. Wei Pan & Xiaolu Chen & Xiaojun Duan, 2022. "Energy dissipation and particulate emission at traffic bottleneck based on NaSch model," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 95(7), pages 1-13, July.
    5. Chen, Jie & Hu, Maobin & Shi, Congling, 2023. "Development of eco-routing guidance for connected electric vehicles in urban traffic systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 618(C).
    6. 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).
    7. Tianjun Feng & Keyi Liu & Chunyan Liang, 2023. "An Improved Cellular Automata Traffic Flow Model Considering Driving Styles," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    8. Jia, Yanfeng & Qu, Dayi & Song, Hui & Wang, Tao & Zhao, Zixu, 2022. "Car-following characteristics and model of connected autonomous vehicles based on safe potential field," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).
    9. 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).
    10. Li, Zhen-Hua & Zheng, Shi-Teng & Jiang, Rui & Tian, Jun-Fang & Zhu, Kai-Xuan & Di Pace, Roberta, 2022. "Empirical and simulation study on traffic oscillation characteristic using floating car data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).
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