Advertisement

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

Conference paper
Part of the Lecture Notes in Networks and Systems book series (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.

Keywords

Traffic engineering Ring Expressway Traffic flow characteristic parameters Physical characteristics factor Physical attributes 

Notes

Acknowledgments

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

References

  1. 1.
    Fang, X.: Research on The Key Technology of Predicting Metropolitan Beltway Highway Traffic Volume. Chang’an Univeisity, Xi’an (2009)Google Scholar
  2. 2.
    Jiang, R., Wu, Q.S.: Study on the complex dynamic properties of traffic flow the micro and macro modeling. J. Graduate Sch. Chin. Acad. Sci. 23, 848–854 (2006)Google Scholar
  3. 3.
    Greenshields, B.: A study of traffic capacity. High. Res. Board Proc. 14, 448–477 (1935)Google Scholar
  4. 4.
    Pipes, L.A.: An operational analysis of traffic dynamics. J. Appl. Phys. 24, 274–281 (1953)MathSciNetCrossRefGoogle Scholar
  5. 5.
    Pipes, L.A.: Car-following models and the fundamental diagram of road traffic. Transp. Res. 1, 21–29 (1967)CrossRefGoogle Scholar
  6. 6.
    Wu, D.: Based on Information Fusion Technology of Expressway Traffic Flow Quidance System Model Research. University of Electronic Science and Technology of China, Chengdu (2009)Google Scholar
  7. 7.
    Rakha, H.: Validation of Van Aerde’s simplified steadystate car-following and traffic stream model. Transp. Lett. Int. J. Transp. Res. 1, 227–244 (2009)CrossRefGoogle Scholar
  8. 8.
    Hongping, L., Yulong, P., Zhongliang, Y.: The speed and its influencing factors of free flow of expressway. J. Jilin Univ. 27, 772–776 (2007)Google Scholar
  9. 9.
    Zhao, N.: Based on The Physical Properties of Urban Expressway Traffic Flow Characteristic Parameter Model. Beijing Jiaotong University, Beijing (2010)Google Scholar
  10. 10.
    Cao, Y., Liu, L., Wang, W.: Study on the speed-density model of urban expressway traffic flow. Logist. Technol. 32(4), 166–169 (2013)Google Scholar
  11. 11.
    Shao, X., Han, Y., Hu, Y.: A new macroscopic traffic flow model. J. Northeast. Univ. 35(7), 1056–1058 (2014)Google Scholar
  12. 12.
    Zhu, X., Wang, Y., Shao, X.: Characteristics of highway traffic flow in snowy weather. J. Wuhan Univ. Technol. 40(1), 95–98 (2016)Google Scholar
  13. 13.
    Yaping, Z.: Research on traffic flow characteristics and traffic capacity of the basic section of the expressway. Doctoral Dissertation of Harbin Institute of Technology, Harbin (2005)Google Scholar
  14. 14.
    Lieqiang, X., Fu, W.: Calculation model of road entrance on ramp junction capacity. J. Huazhong Univ. Sci. Technol. 9, 91–93 (2006)Google Scholar
  15. 15.
    Transportation Research Board: Highway Capacity Manual 2010. Transportation Research Board of the National Academy of Science, Washington (2010)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.School of TransportationLanzhou Jiaotong UniversityLanzhouChina

Personalised recommendations