Models on Real-Time State Identification for Unban Traffic Based on Fixed Detector

For the advantages and disadvantages of the traffic state identification based on fixed detector, a kind of method on the real-time state identification for the unban traffic was presented in order to improve accuracy and practical level of the traffic state identification. From analysis on detectors distribution and data collection methods, this paper carried out data preprocessing which collected from fixed detectors, then established the identification methods and thresholds for traffic state, developed the evaluation models of urban traffic congestion. Finally, the practicality of models was validated according to the traffic data collected by fixed detectors on typical roads in Qingdao city. The results show that the traffic state identification of the models is effective and with high precision.