基于模糊综合评价的道路交通状态判别方法研究

A method for road traffic state analysis based on fuzzy comprehensive evaluation

选取路段的平均行程车速、时间占有率以及交叉口平均延误为特征参数设计道路交通状态判别分析模型,根据采集到的交通信息数据,运用模糊综合评价方法判别道路交通的实时状态.实验结果表明,传统的方法对单个特征参数根据判别阈值得到的道路交通状态判别结果波动性大、精度不高,通过将其进行模糊综合评价后,判别结果有了较好的稳定性和准确性,所提出的算法能够提高交通状态判别的精度.

The average travel speed,time occupancy ratio and average stop delay were selected as the characteristic parameters for the design of road traffic state identification analysis model.According to the collected traffic information,the fuzzy comprehensive evaluation method was used to discriminate road traffic real-time state.The experimental result shows that the traffic state discrimination result from a single parameter based on the discriminated threshold was volatile and inaccurate.The discrimination result has a good stability and accuracy after fuzzy comprehensive evaluation,and the proposed algorithm can improve the accuracy of traffic state identification.