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Author:

Zhang, J. (Zhang, J..) | Sun, X.-D. (Sun, X.-D..) | He, Y.-L. (He, Y.-L..) | Liu, X.-M. (Liu, X.-M..) (Scholars:刘小明)

Indexed by:

Scopus PKU CSCD

Abstract:

In the course of investigating traffic safety threat the direct diagnosis couldn't concentrate on convergences of crashes within the limited section, so the boundary of a segment with abnormal crashes may not be captured accurately. Continuous pattern recognition is a new screening method for traffic safety diagnosis. The segments with potential problems of traffic safety could be identified by successive movement and scanning every interval. Steps and main points of analysis about the technology were given. Quantitative calculation of the abnormal extent of crash was studied. The technology is easy to operate with computer programming because of repeated calculation. It could judge the positions of traffic safety threats correctly, then countermeasures could be made and traffic safety of the road would be improved.

Keyword:

Continuous pattern recognition; Direct diagnosis; Traffic safety; Traffic safety diagnosis

Author Community:

  • [ 1 ] [Zhang, J.]Beijing Key Lab. of Traffic Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Sun, X.-D.]Beijing Key Lab. of Traffic Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [He, Y.-L.]Beijing Key Lab. of Traffic Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Liu, X.-M.]Beijing Key Lab. of Traffic Engineering, Beijing University of Technology, Beijing 100124, China

Reprint Author's Address:

  • [Zhang, J.]Beijing Key Lab. of Traffic Engineering, Beijing University of Technology, Beijing 100124, China

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Source :

Journal of Wuhan University of Technology

ISSN: 1671-4431

Year: 2011

Issue: 5

Volume: 33

Page: 81-85

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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