Title :
Study on the Abnormal Traffic Incident Forewarning Model Based Advanced Neural Networks
Author_Institution :
Traffic Manage. Eng. Dept., Chinese People´´s Public Security Univ., Beijing, China
Abstract :
This paper introduces the abnormal traffic incident dynamic forewarning core model based on the neural network. And then the calculate steps are presented in detail. Finally, there are several real examples on demonstrating the effectiveness of system algorithms. Though the collection of the real test data and screening in Beijing, it achieves the forewarning of abnormal traffic incident and gives the assessment the situation as well.
Keywords :
neural nets; road traffic; traffic engineering computing; Beijing; abnormal traffic incident forewarning model; advanced neural networks; real test data; Cities and towns; Data security; Engineering management; Fires; Flowcharts; Neural networks; Road safety; Telecommunication traffic; Testing; Traffic control;
Conference_Titel :
Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5872-1
Electronic_ISBN :
978-1-4244-5874-5
DOI :
10.1109/IWISA.2010.5473322