吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (06): 1459-1464.doi: 10.7964/jdxbgxb201306004

• paper • Previous Articles     Next Articles

Estimation of travel time under abnormal state

YANG Zhao-sheng1,2, MO Xiang-lun2, YU Yao2, ZHANG Biao2   

  1. 1. State Key Lab of Automotive Simulation and Control, Jilin University, Changchun 130022, China;
    2. College of Traffic, Jilin University, Changchun 130022, China
  • Received:2012-07-19 Online:2013-11-01 Published:2013-11-01

Abstract:

The influence of abnormal states on road traffic is analyzed. Then an estimation method of travel time feasible to different abnormal states is proposed. Some key technologies in this method are studied, including determination of sampling size based on GPS data, estimation of travel time with sufficient or insufficient samples based on GPS data, and BP neural network based travel time fusion method. Finally, the proposed method is verified by simulations under two abnormal states, one is serious traffic accident and the other one is dense fog. Simulation results show the proposed method can more accurately estimate the travel time under different abnormal states.

Key words: engineering of communication and transportation system, abnormal state, estimation of travel time, judgment of sample amount, data fusion

CLC Number: 

  • U491.1

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