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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2019  >  19(6): 163-170
LIU Wei, CHEN Ke-quan, TIAN Zong-zhong, PENG Bo. Partition model of road traffic accident influence area based on density entropy[J]. Journal of Traffic and Transportation Engineering, 2019, 19(6): 163-170. doi: 10.19818/j.cnki.1671-1637.2019.06.015
Citation: LIU Wei, CHEN Ke-quan, TIAN Zong-zhong, PENG Bo. Partition model of road traffic accident influence area based on density entropy[J]. Journal of Traffic and Transportation Engineering, 2019, 19(6): 163-170. doi: 10.19818/j.cnki.1671-1637.2019.06.015
shu

Partition model of road traffic accident influence area based on density entropy

doi: 10.19818/j.cnki.1671-1637.2019.06.015
  • 1.

    College of Traffic and Transportation, Chongqing Jiaotong University, Chongqing 400074, China

  • 2.

    School of Transportation, Southeast University, Nanjing 211189, Jiangsu, China

  • 3.

    Department of Civil and Environmental Engineering, University of Nevada, Reno, Reno 89557, Nevada, USA

More Information
  • Author Bio:

    LIU Wei (1978-), male, professor, PhD, neway@cqjtu.edu.cn

  • Received Date: 2019-05-26
  • Publish Date: 2019-12-25
    Abstract
  • The initial load of network was identified based on the dynamic effect of path impedance. The duration of accident was considered as parameter, and the network load re-distribution was introduced based on the prospect theory. The dissipative structure model was established by the entropy of traffic flow density, and the change rate of traffic flow density entropy of each road was determined by combined with the load distribution process. The partition model of traffic accident influence area was established based on cluster analysis. The influence of partition was analyzed by simulation experiment under different initial loads and accident durations. Simulation result shows that when the traffic base is 800 pcu·h-1and the accident duration changes from 20 min to 30 min, the number of directed road sections in direct impact area increases from 3 to 6, and the number of directed road sections in indirect impact area increases from 5 to 18, indicating that the entropy of road section affected by accident is on an upward trend and the cascading failure of road network is not obvious. When the traffic base rises to 1 000 pcu·h-1 and the accident duration changes from 20 min to 30 min, the number of directed road sections in direct impact area increases from 8 to 19, and the number of directed road sections in indirect impact area increases from 16 to 21, indicating that the effect is concentrated on the direct impact area. Therefore, the influence degree of each directed road section affected by accident is obviously different under different traffic situations. With the increases of accident duration and initial traffic flow, the influence degree of accident on directed road sections increases. Therefore, the partition of traffic accident influence area can precisely describe the dynamic evolution process of road traffic performance.

     

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