Citation

Liao ZG, Liu BM, Guo ZY. Zhongguo Gonglu Xuebao 2007; 20(4): 122-126.

Affiliation

School of Traffic and Transportation Engineering, Tongji University, Shanghai 201804, China.

Copyright

(Copyright © 2007, Chang'an da xue)

DOI

unavailable

PMID

unavailable

Abstract

In order to solve small sample problem and reduce information loss of accident samples in traditional road black spot identification methods, small sample characteristics of accident data and multidimensionality of road risk indicated by accident sample were deeply analyzed, then, information assignment technology was introduced to process traffic accident data. Road black spots were identified by comparison of accident information volume instead of accident frequency in each road section element. Results show that information assignment technology can make full use of road black spot identification information supported by accident data of small sample, and accident information volume has better reflection of ride risk in each road section element than that of accident frequency.