The freeway Automatic Incident Detection (AID) algorithm based on image processing is a very promising technique which not only can be used in AID itself but also more application fields. Advantages of AID include help in understanding traffic flow behavior in depth which may result in a revolution in traffic modeling, simulation and control, traffic system detection and surveillance, and even advanced traffic incident management. This paper first gives a brief introduction to the freeway AID algorithm on loop detector and its existing problems, then proposes potential micro and macro freeway AID methods based on image processing and tries to find how difficult the problems are, and finally, from the image processing viewpoint presents some possible solutions.
Abstract