基于Fuzzy-PCA的城市区域交通拥挤评价方法

城市区域路网交通状态分析是实施区域交通管理和交通诱导的基础。为实现对区域路网拥挤状况的有效刻画,提出了一种基于主成分分析和模糊综合评价相结合的定量评价方法。以路段平均行程时间为描述交通拥挤的参数,将路网中所包含的各个路段作为影响因素,利用主成分分析法确立了各个路段对区域拥挤的影响权重;运用模糊综合评价法对区域路网拥挤状况进行了评估。在济南市实际路网结构下,通过VISSIM交通仿真软件和SPSS数据统计分析软件对算法进行了实例验证。结果表明,该算法能够客观、有效地刻画城市区域道路的交通拥挤状况。

Regional traffic congestion evaluation based on Fuzzy-PCA

Urban regional traffic congestion evaluation is the basis for regional traffic management and traffic guidance. To give a quantitative evaluation for the regional traffic congestion, a method based on principal component analysis and fuzzy comprehensive evaluation was proposed. Regarding average travel time as the indicators of traffic congestion, and road sections as influence factors in this method, the influence weight was established by using the method of principal component analysis, and regional traffic congestion was evaluated based on fuzzy comprehensive evaluation. Taking the actual traffic network structure of Jinan for an example, an experiment was given to illustrate the method by using of the traffic simulation software VISSIM and the statistical analysis software SPSS. Results showed that the method could describe urban regional traffic congestion objectively and effectively.