Urban Traffic Incident Detection Based On Fuzzy Logic

Automatic incident detection and characterization is urgently required in the development of advanced technologies used for reducing non-recurrent traffic congestion on urban traffic. This paper presents a new method which is constructed on the basis of fuzzy value logic to automatically identify freeway incidents. As a component of a real-time traffic adaptive control system for signal control, the algorithm feeds an incident report to the system´s optimization manager, which uses the information to determine the appropriate signal control strategy. Off-line tests were conducted to substantiate the performance of the proposed incident detection algorithm based on simulated data. The test results indicate the feasibility of achieving real-time incident detection utilizing the proposed method