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Characteristic Parameters Model of Traffic Flow in Ring Expressway Based on Physical Attributes

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Directions of Development of Transport Networks and Traffic Engineering (TSTP 2018)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 51))

Abstract

In order to ease the traffic pressure of the city center and to solve the complex traffic function demand. Based on the quantitative analysis of the traffic flow characteristics of the Expressway, the paper puts forward the idea of deducing the characteristic parameters of the traffic flow directly with the physical characteristic factors, and establishes the characteristic parameter model of the traffic flow based on the physical attributes. Taking the Xi’an Ring Expressway as an example, the calibration of characteristic parameters of traffic flow based on physical attribute is carried out and compared with the traditional traffic flow characteristic parameter calibration method. The results show that the characteristic model of the traffic flow of the Ring Expressway based on the physical attributes reduces the dependence on the measured data and it can better describe the expressway traffic flow characteristics.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (51468035).

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Authors and Affiliations

  1. School of Transportation, Lanzhou Jiaotong University, Lanzhou, China

    Hua-lan Wang, Jia-ying Xu & Shu-mei Ma

Authors
  1. Hua-lan Wang
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  2. Jia-ying Xu
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  3. Shu-mei Ma
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Corresponding author

Correspondence to Hua-lan Wang .

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Editors and Affiliations

  1. Faculty of Transport, Silesian University of Technology, Katowice, Poland

    Elżbieta Macioszek

  2. Faculty of Transport, Silesian University of Technology, Katowice, Poland

    Grzegorz Sierpiński

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Wang, Hl., Xu, Jy., Ma, Sm. (2019). Characteristic Parameters Model of Traffic Flow in Ring Expressway Based on Physical Attributes. In: Macioszek, E., Sierpiński, G. (eds) Directions of Development of Transport Networks and Traffic Engineering. TSTP 2018. Lecture Notes in Networks and Systems, vol 51. Springer, Cham. https://doi.org/10.1007/978-3-319-98615-9_9

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