@article{ref1,
title="Analysis of Vehicle Behavioral Safety on Freeway Based on Video Detection",
journal="Journal of highway and transportation research and development",
year="2010",
author="Jiang, Xinchun and Liu, Xiaoming",
volume="27",
number="1",
pages="122-125",
abstract="Based on analysis of current video detection systems, a method is put forward to assess vehicle safety status for traffic incident detection at microcosmic level according to the real-time analysis and identification of single vehicle behavior. Traffic incident impact area was first divided into static area and dynamic area, the vehicle driving area was divided into dangerous area and trend area according to the process of traffic behaviors, and the algorithm to determine the dangerous area and trend area of the corresponding static area or dynamic area is presented. Test results show this algorithm can be used for traffic warning to a certain extent to reduce traffic accidents.<p />",
language="",
issn="1002-0268",
doi="",
url="http://dx.doi.org/"
}