基于双射软决策理论的路段拥堵影响力识别

Identification of Road Section Congestion InfluenceBased on Bijective Soft Decision Theory

为了刻画路段对整体交通的影响,提出了拥堵影响力指标及其计算方法;建立了基于双射软决策理论和实时路况地图数据的计算框架;以重庆市四公里立交2018年12月9—31日的百度实时路况地图为样本序列进行了实例研究。结果表明:拥堵影响力指标可以用来描述城市路段交通状态的重要属性;根据实时路况地图中的离散化交通状态信息,应用双射软决策理论的分析框架能够迅速获取路段拥堵影响力,结果可作为识别路段拥堵严重程度的有力补充。

In order to describe the impact of road section on the overall traffic,the congestion influence index and its calculation method were proposed,and a computing framework based on bijective soft decision theory and real-time road map data was established.Taking the Baidu real-time traffic map of Chongqing s Four-Kilometer Interchange from December 9 to 31,2018 as the sample sequence,a case study was carried out.The results show that the congestion influence index can be used to describe the important attributes of urban road traffic state;and through the discrete traffic state information in the real-time road map,the analysis framework of the bijective soft decision theory can quickly obtain the influence of road congestion,which can be used as a powerful supplement to identify the severity of road section congestion.