Fusion and Recognition of Traffic State Information Model on High-Grade Highway Segment

摘要

In order to provide reasonable and accurate traffic status information for the traffic managers, a new method for traffic state recognition based on vague set theory is proposed. According to the characteristics of discreteness, fuzziness, and time-variant in the detecting units, decision-making information of adjacent detections units at the same level is merged to obtain a sequence of traffic state blocks. A weighted distance formula is proposed to turn the position and length of traffic state block into weights, and based on which, the fusion and recognition model of traffic states information on high-grade highway segment is established. The example also shows the validation of the effectiveness of the model, provides a new way for recognition of traffic state information model on high-grade highway segment.