Research On Alarming Algorithm Of Traffic Accidents

Traffic accident is an incident of personal injury or property damage because of mistakes of car on the road. With the development of economic, the growth of road can not keep pace with the number of cars and it is always confined by the land and the funding, so the traffic accident is a serious issue of all the country faced and it is very hard to be resolved. In order to reduce the occurrence of accident and economic losses, improved the road capacity; this paper will establish an early warning system on the car, then it could forecast the type of accident which will happen in the future, according to the forecasting result, drivers would take the corresponding measures to prevent the accident and the car will be in a security state. In the early warning system of traffic accident, the key is the fusion algorithm of information, so the main content of this paper is the research of smart algorithm in intelligent transportation system. First, the paper studies the factors that affect the accident and grasp the law which the accident happened, based on this, the paper establish the framework of warning system; then, it builds the mapping relations using the rough set and fuzzy integral theory between the factors that impacting the traffic accident and the types of traffic accident, finally, using the research data, the paper simulate it to test the effective and real-time property of algorithm.