基于门架数据的高速公路拥堵识别研究

Research on Expressway Congestion Discrimination Based on Toll Gantry Data

有效识别高速公路拥堵情况,能为高速公路的交通管控及建设规划提供有效依据。基于高速公路门架数据,提出了一套基于行程时间阈值的拥堵识别分析方法,提取车辆的行程时间集合,利用聚类算法对路段的不同拥堵等级的行程时间阈值进行标定,从而对高速公路拥堵情况进行判别。在实例分析中,以广州市高速公路网为研究对象,开展了拥堵识别分析。结果表明,广州市高速公路总体运行状态良好,80%的时段路段处于顺畅状态。

It can provide effective evidence for expressway traffic control and construction planning by effectively identifying congestion of expressway.A methodology of congestion discrimination was proposed based on travel time threshold.The travel time collections of all vehicles were extracted based on toll gantry data.The travel time collection was clustered and analyzed by clustering algorithm,and the travel time threshold of different congestion levels was calibrated according to the clustering results.The congestion condition will be discriminated based on the congestion travel time thresholds.The results indicates that the overall operation of Guangzhou expressways is good,with 80%of periods and sections being in a smooth state.