Title :
Modeling the duration and queue length of Urban Expressway incident
Author :
Junhua Wang ; Boya Liu
Author_Institution :
Sch. of Transp. Eng., Tongji Univ., Shanghai, China
Abstract :
Observing the whole process of 254 incidents with seamless video surveillance in Shanghai Urban Expressway Monitoring Center, the transaction time, dissipation time and the queue length were modeled with log linear regression. Result shows that accident duration incident and queue length are significantly determined by whether a tower vehicle is used, accident type and etc.
Keywords :
regression analysis; road accidents; road safety; road traffic control; traffic engineering computing; video surveillance; Shanghai Urban Expressway Monitoring Center; accident duration incident; accident type; dissipation time; duration modeling; log linear regression; queue length modeling; tower vehicle; transaction time; urban expressway incident; video surveillance; Accidents; Poles and towers; Predictive models; Roads; Safety; Vehicles; Duration; Incident; Queue length; Urban Expressway;
Conference_Titel :
Transportation Information and Safety (ICTIS), 2015 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4799-8693-4
DOI :
10.1109/ICTIS.2015.7232090
