Journal of South China University of Technology (Natural Science Edition) ›› 2011, Vol. 39 ›› Issue (8): 113-117.doi: 10.3969/j.issn.1000-565X.2011.08.021

• Traffic & Transportation Engineering • Previous Articles     Next Articles

Safety State Evaluation of Freeway Section in Mountains Based on PNN

Wen Hui-yingLuo JunLi Jun-hui2   

  1. 1. School of Civil Engineering and Transportation,South China University of Technology,Guangzhou 510640,Guangdong,China; 2. School of Urban Rail Transit,Guangdong Communication Polytechnic,Guangzhou 510650,Guangdong,China
  • Received:2010-12-09 Revised:2011-03-09 Online:2011-08-25 Published:2011-07-06
  • Contact: 温惠英(1965-) ,女,博士,教授,主要从事交通安全、交通运输规划与管理、智能交通与物流技术等研究. E-mail:hywen@ scut.edu.cn
  • About author:温惠英(1965-) ,女,博士,教授,主要从事交通安全、交通运输规划与管理、智能交通与物流技术等研究.
  • Supported by:

    国家自然科学基金资助项目( 50978106)

Abstract:

In this paper,first,the concepts of safety state of section and the freeway in mountains are defined and under such definitions,the concept of freeway section in mountains as well as the safety evaluation indexes and standard of the section is put forward. Then,the speed parameters are obtained by installing the traffic information collection equipment near the section requiring evaluation and its upstream. Finally,with real -time speed parameters and historical data of traffic accidents as the evaluation indexes,a safety state evaluation model of freeway section in mountains is established based on the proposed evaluation standard and the probabilistic neural network ( PNN) . Simulated results indicate that the proposed model is capable of evaluating the safety state of freeway section in mountains.

Key words: freeway, mountains, safety state, evaluation, speed parameter, probabilistic neural network

CLC Number: