This paper proposes a method to evaluate the time to collision (TTC) by the flow traveling through the road work zone based on the traffic conflict technology. The reliable big data are extracted from observed videos and the generalized exponential function is designed to explore the probability of the potential collision. The probability of rear-end collision when vehicles passing by the designated work zone is discussed in detail, in specific, in the scenario of an urban four-lane road work zone. Finally, four macro factors are exhibited, which have significant impact on the TTC including observed speed, flow, distance and following vehicle type. Conclusions are drawn that the vehicle speed is faster, the traffic volume is greater; meanwhile, the closer to the work zone area, the rear-end collision probability is higher.
Collision risk analysis of urban road work zone based on traffic conflict technology
International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021) ; 2021 ; Harbin,China
Proc. SPIE ; 12168
18.03.2022
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Road traffic safety risk assessment system based on traffic conflict technology
Europäisches Patentamt | 2021
|The Prediction of Vehicle Collision Risk in Traffic Conflict Zone Based on Bayesian Network
British Library Conference Proceedings | 2015
|The Prediction of Vehicle Collision Risk in Traffic Conflict Zone Based on Bayesian Network
Trans Tech Publications | 2015
|Traffic wave models for the urban road with a work zone
Taylor & Francis Verlag | 2022
|