Abstract
Traffic congestion has now become one of the most serious urban problems, but the existing research seldom explores the recognition model level of traffic congestion. Taking the central area of Zhonghe Street in Chengdu High-tech Zone as the research area, and mitigating traffic as the basic goal, from the perspective of road network, collect one-week road traffic data of Gaode and use field investigation and big data spatial sampling and other means with GIS spatial analysis methods. A “point”-“line”-“surface” congestion situation analysis model was established to explore the causes of traffic congestion within the study area. The results show that the main traffic congestion of Zhonghe Street is distributed along Tianfu Avenue in the west, along Zhonghe Avenue in the middle, and the old city area in the northeast. Congestion is unevenly distributed in time and space. It is recommended to carry out targeted optimization planning and transformation of the road network to alleviate traffic congestion and improve the efficiency of road network traffic.
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