Title :
Study on Evaluation Method of Urban Traffic Congestion Based on Fuzzy Comprehensive Evaluation
Author :
Jia Hongfei ; Tan Yunlong ; Fu Xiaoyan
Author_Institution :
Coll. of Transp., Jilin Univ., Changchun, China
fDate :
July 31 2012-Aug. 2 2012
Abstract :
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.
Keywords :
fuzzy set theory; principal component analysis; regression analysis; road traffic; average delay per unit distance; average stop number per unit distance; average stops time per unit distance; average travel speed; district traffic improvement planning; expert scoring method; fuzzy comprehensive evaluation; multiingredient assessment; principal components analysis; regression analysis; road sections saturation; road traffic conditions; single evaluation factor; single-object decision; traffic congestion evaluation system; urban traffic congestion; Delay; Educational institutions; Equations; Indexes; Roads; Vehicles; Congestion Index; Evaluation System; Fuzzy Comprehensive Evaluation; Traffic Congestion;
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2012 Third International Conference on
Conference_Location :
GuiLin
Print_ISBN :
978-1-4673-2217-1
DOI :
10.1109/ICDMA.2012.192