The traffic information fusion method based on the multisource detectors

Recently, traffic problem has become one of the major problems in the world´s governments including China. People urgently need to know the actual operating status of the road network traffic so that it can guide people commute travel. The development of traffic detection technique makes it possible for people to get the traffic flow foundation information. Information fusion technology can remove redundant, overcome the ambiguity and get more comprehensive, more accurate and more reliable information than any individual data sources. In this paper we mainly discussed the BP neural network traffic information fusion method and procedures based on the existing research results and Beijing traffic situation.