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A Study on the Model of Traffic Flow and Vehicle Exhaust Emission

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  • Han Xue
  • Shan Jiang
  • Bin Liang

Abstract

The increase of traffic flow in cities causes traffic congestion and accidents as well as air pollution. Traffic problems have attracted the interest of many researchers from the perspective of theory and engineering. In order to provide a simple and practical method for measuring the exhaust emission and assessing the effect of pollution control, a model is based on the relationship between traffic flow and vehicle exhaust emission under a certain level of road capacity constraints. In the proposed model, the hydrocarbons (HC), carbon monoxide (CO), and nitrogen oxides ( ) are considered as the indexes of total exhaust emission, and the speed is used as an intermediate variable. To verify the rationality and practicality of the model, a case study for Beijing, China, is provided in which the effects of taxi fare regulation and the specific vehicle emission reduction policy are analyzed.

Suggested Citation

  • Han Xue & Shan Jiang & Bin Liang, 2013. "A Study on the Model of Traffic Flow and Vehicle Exhaust Emission," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-6, December.
    • Handle: RePEc:hin:jnlmpe:736285
    DOI: 10.1155/2013/736285
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    Cited by:

    1. Agarwal, Avinash Kumar & Mustafi, Nirendra Nath, 2021. "Real-world automotive emissions: Monitoring methodologies, and control measures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    2. Lu Wang & Xue Chen & Yan Xia & Linhui Jiang & Jianjie Ye & Tangyan Hou & Liqiang Wang & Yibo Zhang & Mengying Li & Zhen Li & Zhe Song & Yaping Jiang & Weiping Liu & Pengfei Li & Xiaoye Zhang & Shaocai, 2022. "Operational Data-Driven Intelligent Modelling and Visualization System for Real-World, On-Road Vehicle Emissions—A Case Study in Hangzhou City, China," Sustainability, MDPI, vol. 14(9), pages 1-22, April.
    3. Ammar Šarić & Suada Sulejmanović & Sanjin Albinović & Mirza Pozder & Žanesa Ljevo, 2023. "The Role of Intersection Geometry in Urban Air Pollution Management," Sustainability, MDPI, vol. 15(6), pages 1-24, March.
    4. Xiaojian Hu & Dan Xu & Qian Wan, 2018. "Short-Term Trend Forecast of Different Traffic Pollutants in Minnesota Based on Spot Velocity Conversion," IJERPH, MDPI, vol. 15(9), pages 1-16, September.

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