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Author:

Gao, A. (Gao, A..) | Chen, Y. (Chen, Y..)

Indexed by:

Scopus

Abstract:

The study of the reliability of road network during incident plays an important role to construct effective traffic emergency response plan. First the conception of recovery reliability during traffic accidents is clearly defined. The influence of accident duration. severity and average saturation to the time of traffic recovery is analyzed through the use of DYNASMART simulation. With the data collected by DYNASMART simulation, the model of recovery time based on BP neural network is established. At last, Monte Carlo simulation method is introduced to calculate the reliability of recovery time, and an example demonstrates the efficiency of the above algorithm.

Keyword:

BP neural network; DYNASMART simulation; Monte Carlo simulation; Recovery reliability; Traffic incident

Author Community:

  • [ 1 ] [Gao, A.]Key Laboratory of Transportation Engineering, Beijing University of Technology, Beijing 100022, China
  • [ 2 ] [Gao, A.]Beijing Peoples Police College, Beijing 102202, China
  • [ 3 ] [Chen, Y.]Key Laboratory of Transportation Engineering, Beijing University of Technology, Beijing 100022, China

Reprint Author's Address:

  • [Gao, A.]Key Laboratory of Transportation Engineering, Beijing University of Technology, Beijing 100022, China

Email:

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Source :

Journal of Wuhan University of Technology (Transportation Science and Engineering)

ISSN: 1006-2823

Year: 2010

Issue: 3

Volume: 34

Page: 517-519,523

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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