DocumentCode :
3219267
Title :
Neural Network Simulation-Based Research on Highway Safety Evaluation
Author :
Jia Cheng ; Hongxia Guo ; Qingyao Li ; Wen Du
Author_Institution :
Coll. of Traffic & Transp., South West Jiaotong Univ., Chengdu
Volume :
1
fYear :
2008
fDate :
20-22 Oct. 2008
Firstpage :
209
Lastpage :
212
Abstract :
With highway traffic of China developing faster and faster, safety problems are gradually becoming more and more obvious. Such problems are big threat to both peoplepsilas lives and their property. Some safety researches have been done by Predecessors. Based on these researches, this article is to employ a highway safety evaluation system made of running velocity. By using the BP neural network algorithm in MATLAB software, simulations were made to evaluate the linearity of a certain highway. And the results come out at last to prove that the method contains a certain applicable value.
Keywords :
automated highways; backpropagation; neural nets; road safety; BP neural network algorithm; MATLAB software; Predecessors; highway safety evaluation system; highway traffic; neural network simulation; running velocity; Automated highways; Mathematical model; Neural networks; Road safety; Road transportation; Road vehicles; Shape; Telecommunication traffic; Traffic control; Vehicle safety;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3357-5
Type :
conf
DOI :
10.1109/ICICTA.2008.198
Filename :
4659474
Link To Document :
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