A Method of Expressway Operation Status Evaluation Based on Macro Basic Graph

Abstract

The invention discloses a highway running state evaluation method based on a macroscopic fundamental diagram. The highway running state evaluation method comprises the following steps of: step 1: pre-processing data; step 2: calculating macroscopic fundamental diagram model parameters; step 3, establishing a macroscopic fundamental diagram model; step 4, designing and implementing a clustering method DBSCAN; and judging traffic state of a road network through giving data of highway toll stations according to a data class threshold value range obtained finally. The highway running state evaluation method is suitable for a highway network, utilizes actual toll data of highways, ensures that the result is real and effective, determining major parameters of the macroscopic fundamental diagram of the highway network through calculating average flow rate and average occupancy of the highway network, and provides a basis for modeling, thus the model can reflect the highway network macroscopic running state and evolution process thereof intuitively.

Description

technical field [0001] The invention relates to a method for evaluating the operating state of expressways, in particular to an evaluation method for evaluating the operating state of expressway traffic by using a macroscopic basic graph model, and belongs to the technical field of intelligent transportation. Background technique [0002] In recent years, my country's expressway construction has developed rapidly, but at the same time, there are still problems in the operation process, such as traffic safety, traffic congestion, environmental pollution and unscientific management, especially during holidays and morning and evening peak hours. The evaluation of the operating state of the expressway network can directly reflect the operating state of the expressway network, and plays a key role in the effective management and operation of the expressway, and the full play and coordination of the expressway network traffic capacity. [0003] At present, the urban road network t...

AI Technical Summary

Problems solved by technology

The application number is: 200910306882. In the patent "A Video-based Expressway Traffic Congestion State Detection Method", a video-based macroscopic expressway traffic congestion state detection method is proposed. It has high requirements and has limitations for the state evaluation of expressways in China at the present stage; the application number is: 201410069892, and the patent "Traffic flow state discrimination method based on multi-section visual sensing cluster analysis" proposes clustering based on multi-section visual sensing The traffic flow state discrimination method based on the analysis, the traffic flow data is obtained through the PTZ video camera set on the side of the road, and the cluster analysis method is used to judge the traffic flow state of the expressway road, the application conditions are very limited; the application number is: 201210084221.2, the patent "a In "Regional Traffic State Evaluation Method", a single-index regional traffic state evaluation method based on the average travel time of the road section is proposed, and the fuzzy comprehensive evaluation method is applied, but this evaluation method is only applicable to the urban regional road network, not to the regional expressway network. ; The application number is: 200910237285, the patent "a highway traffic state recognition method based on information fusion" proposed a traditional support vector machine information fusion highway traffic state recognition method, but the evaluation method only carried out the algorithm in theory Design, no example verification

Images