Urban main road traffic flow blocking state division method combining macroscopic traffic flow information and microscopic traffic flow information

Abstract

The invention discloses an urban main road traffic flow blocking state division method in combination with macroscopic traffic flow and microscopic traffic flow information. The method specifically comprises the following steps: placing a camera on an investigation road section for traffic investigation; preprocessing traffic data information acquired by a camera, removing invalid data, and determining a time headway frequency distribution interval; comparing the traffic parameter standard deviation under each statistical interval, and determining an optimal statistical interval; clustering the speed by using a K-means method, selecting an optimal traffic state number, and obtaining a speed threshold value of each traffic state; carrying out free flow and following state division on the traffic flow in each state based on a time headway method; and obtaining a clear time headway threshold value by using a coordinate conversion method. The method can better consider the interaction between the vehicles in the microscopic traffic flow and the overall characteristics of the traffic flow in the macroscopic traffic flow, guarantees the overall fitting of the traffic flow, and is of great significance.

Description

technical field [0001] The invention relates to a method for classifying the status of blocked traffic flow on an urban trunk road combined with macroscopic traffic flow and microscopic traffic flow information, and belongs to the technical field of urban road traffic planning. Background technique [0002] Traffic flow status is one of the important information for the effective implementation of intelligent transportation. The division of traffic operation status is the basis for reasonable traffic control and management measures in the urban road network. It is of great significance to alleviate the pressure of road traffic operation and improve the efficiency of road network operation. The types of traffic parameters used in the existing traffic state division methods are single, and only macro parameters or micro parameters are considered. The method based on micro-traffic flow theory focuses on the physical meaning between individual vehicles, but ignores the overall p...

AI Technical Summary

Problems solved by technology

The types of traffic parameters used in the existing traffic state division methods are single, and only macro parameters or micro parameters are considered

The method based on micro-traffic flow theory focuses on the physical meaning between individual vehicles, but ignores the overall physical meaning of traffic flow. The clustering method based on macro-mathematical statistics pays attention to the overall fitting effect of traffic flow, but cannot explain the traffic flow. physical meaning

The existing traffic state classification methods mostly classify non-blocking traffic flow such as expressways and expressways, and there are relatively few studies on blocking traffic flow on urban roads.

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