Real-time traffic evaluation method based on multisource information fusion

Abstract

The invention provides a real-time traffic evaluation method based on multisource information fusion under the scene of vehicle-road cooperation. Firstly multiple operator pairs are introduced to conventional fuzzy integration to form a secondary evaluation model, the weight vector of the traffic evaluation index is determined through the analytical hierarchy process, and variable membership rules suitable for all levels of road parameters are established; meanwhile, the dynamic vehicle data and the static road parameters in a vehicle-road cooperative system are fused so s to calculate the real-time evaluation result and score. According to the method, various traffic evaluation indexes can be accepted to act as the input quantity of the model through the fuzzy relationship, the subjective component of the evaluation method can be reduced by using the weight divided by the scientific method with the help of the variable membership rules suitable for all levels of roads, and the generated evaluation score can be applied to traffic state comparison of different roads of the same time period or different time periods of the same road so that the reliable basis can be provided for traffic signal control, vehicle scheduling management and the navigation information service.

Description

technical field [0001] The invention belongs to the field of information fusion / traffic evaluation. Background technique [0002] The increasingly prominent problem of traffic congestion seriously restricts the development of cities. Since the urban road network is often in an oversaturated state during morning and evening peak hours, the inconvenience of motor vehicle travel has become a major problem that plagues residents' lives. However, research results have shown that the current traffic capacity of the urban road network still has great potential for improvement. In addition to unreasonable road planning and signal light timing, traffic control departments and drivers lack understanding of the real-time situation of the regional road network. One of the main reasons for inefficient utilization. If real-time traffic conditions and emergencies can be accurately detected to induce traffic flow, the operational efficiency of the road network can be improved. However, man...

AI Technical Summary

Problems solved by technology

[0005] Existing vehicle behavior evaluation and road network status evaluation often use external sensors to judge the stability and comfort of vehicles and the congestion status of road sections. However, this indirect data collection method itself has certain errors, and it will affect the evaluation results. The lack of handling of vehicle and road network emergencies further leads to the reduction of evaluation accuracy

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