TY  - JOUR
PY  - 2006//
TI  - Automatic Incident Detection Methodology for Freeway Using Floating Cars
JO  - Journal of Wuhan University of Technology (Transportation Science and Engineering)
A1  - Zhang, Changsong
A1  - Yang, Xiu-Chuan
A1  - Yan, Xuedong
SP  - 973
EP  - 975
VL  - 30
IS  - 6
N2  - Traffic incident detection is an important part of freeway emergency management system. It is reviewed researches of automatic incident detection methodology, analyzed the shortcoming of existing algorithms based on fixed detector, such as dissatisfied detection efficiency, restricted transplant capability, etc. A new incident detection methodology using floating cars' data is proposed according to the fact that incidents affect car speed obviously. The result shows that the new incident detection algorithm has high identification rate (92.5%), low false identification rate (1.2%) and short mean time to identification (1.6 min).<p />
LA  - 
SN  - 1006-2823
UR  - http://dx.doi.org/
ID  - ref1
ER  -