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Study on Evaluation Method of Urban Traffic Congestion Based on Fuzzy Comprehensive Evaluation

机译:基于模糊综合评价的城市交通拥挤评价方法研究

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摘要

In order to represent the road traffic conditions accurately, and overcome the insufficient of single evaluation factor, it is necessary to build traffic congestion evaluation system. Firstly, the average travel speed, the average delay per unit distance, the average stop number per unit distance, the average stops time per unit distance and the saturation of road sections are selected to build traffic congestion evaluation system. The evaluation criteria of five indexes are determined by the regression analysis of floating car data. Then, the principal components analysis method is applied to define the weigh which is based on the monitoring sample information, and the expert scoring method is supplemented to do some amendments. The multi-ingredient assessment is transformed into the single-object decision by the improved fuzzy comprehensive evaluation model, and the traffic congestion index concept is proposed. Finally, the traffic congestion evaluation system is conducted on the district traffic improvement planning.
机译:为了准确地表示道路交通状况,克服单一评价因子不足的问题,有必要建立交通拥堵评价体系。首先,选择平均行驶速度,平均每单位距离的延误,平均每单位距离的停车次数,平均每单位距离的停车时间和路段的饱和度,以建立交通拥堵评估系统。通过浮动车数据的回归分析确定了五个指标的评价标准。然后,基于监测样本信息,应用主成分分析法定义称量,并补充专家评分法进行一些修正。通过改进的模糊综合评价模型将多成分评价转化为单目标决策,提出了交通拥堵指标的概念。最后,对区域交通改善规划进行交通拥挤评价系统。

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