Road-network traffic jam discrimination method based on macroscopic fundamental diagram

A macroscopic basic map and traffic congestion technology, applied in the traffic control system of road vehicles, traffic control system, traffic flow detection, etc., can solve the problem of complex acquisition process, reduced reliability, difficulty in reflecting intersections, road section relevance and overall In order to achieve the effect of small amount of data collection, simple data processing and wide application range

Inactive Publication Date: 2017-02-15
SOUTH CHINA UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0003] As mentioned above, the current traffic congestion status recognition technology has the following deficiencies: First, the current traffic congestion status judgment is mainly aimed at intersections or road sections, and reflects the congestion situation at intersections or road sections, which is not enough to represent The traffic status of the entire road network; second, the division of traffic status levels is not systemat

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  • Road-network traffic jam discrimination method based on macroscopic fundamental diagram
  • Road-network traffic jam discrimination method based on macroscopic fundamental diagram
  • Road-network traffic jam discrimination method based on macroscopic fundamental diagram

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Embodiment Construction

[0051] The present invention will be further described below in conjunction with specific examples.

[0052] Such as figure 1 As shown, the road network traffic congestion screening method based on the macroscopic basic map described in this embodiment, its specific circumstances are as follows:

[0053] 1) Carry out traffic area division on the road network;

[0054] 2) Draw the macroscopic basic map of each traffic district;

[0055] 3) Define the critical point of congestion level on the macro basic map, and define the state of traffic congestion;

[0056] 4) Judging the congestion level of each traffic area;

[0057] 5) Congestion state output.

[0058] Described step 1) comprises the following content:

[0059] 1.1) Determine the boundary value of the basic characteristics of the traffic area: including the maximum and minimum values ​​of the area of ​​the area, the number of intersections in the area, etc.

[0060] 1.2) Division of traffic zones: Professional techn...

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Abstract

The invention discloses a road-network traffic jam discrimination method based on a macroscopic fundamental diagram. The method comprises the steps that 1) the road network is divided into traffic cells; 2) the macroscopic fundamental diagram of the traffic cells is drafted; 3) critical points of jamming levels are defined in the macroscopic fundamental diagram, and a traffic jamming state is defined; 4) jamming levels of the traffic cells are determined; and 5) the jamming state is output. According to the method, the related data bulk is low, data processing is simple, the jamming state discrimination speed is high, the method can be used to discriminate the jamming state of areas of different ranges and sizes, and the traffic cells are merged and decomposed flexibly to change the jamming discrimination range rapidly.

Description

technical field [0001] The invention relates to the field of urban road network traffic jam screening, in particular to a road network traffic jam screening method based on a macro basic graph. Background technique [0002] With the continuous expansion of urban traffic network scale and the increasing traffic flow, traffic congestion has become a common problem in major cities. How to quickly and effectively identify road network traffic congestion is the key issue to alleviate traffic congestion. For travelers, real-time road traffic status information can provide a reference for travelers to make travel decisions; for traffic managers, road Network status screening is conducive to quickly and accurately find the source of congestion, so as to take timely management measures to prevent further spread of congestion in time and space. Traditional traffic state recognition methods mainly use some related algorithms such as California series algorithm, McMaster algorithm, sta...

Claims

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Application Information

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IPC IPC(8): G08G1/01G06F17/50
CPCG06F30/20G08G1/0133
Inventor 马莹莹邹祥莉徐建闽王文静
Owner SOUTH CHINA UNIV OF TECH
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