SHANDONG SCIENCE ›› 2017, Vol. 30 ›› Issue (5): 62-69.doi: 10.3976/j.issn.1002-4026.2017.05.011

• Tranfic and Transportation • Previous Articles     Next Articles

Study on traffic state identification of urban expressway based on fuzzy comprehensive evaluation

CHEN Lun, GU Yuan-li,LU Wen-qi   

  1. MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China
  • Received:2017-04-13 Online:2017-10-20 Published:2017-10-20

Abstract:

In this paper, the speed and occupancy were chosen as the evaluation indicators, and based on entropy method and gray correlation analysis, a fuzzy judgement model of expressway traffic state was established. Note that weight used in fuzzy comprehensive evaluation was obtained by combination of entropy method and gray correlation analysis, and then quantification results of traffic state could be acquired by calculation. According to case study, methodology mentioned in this paper is practicable and effective, and it is of better stability when compared with the method based on either speed or occupancy, so that it can provide a theoretical basis for the traffic state identification of urban expressway.

Key words: traffic engineering, weight distribution, traffic state identification, expressway, fuzzy comprehensive evaluation

CLC Number: 

  • U491.1