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Expressway vehicle congestion discrimination method based on multi-data source fusion

A technology for highway and vehicle congestion, applied in the field of traffic information, it can solve the problems of inability to know accident data, no events, and insufficient accuracy of congestion locations.

Active Publication Date: 2022-02-01
浙江交投高速公路运营管理有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

On the one hand, the accuracy of the congestion location is not enough to connect with professional high-speed services
On the other hand, operators cannot know the cause of congestion without event and accident data, and cannot carry out vehicle control and congestion management

Method used

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  • Expressway vehicle congestion discrimination method based on multi-data source fusion
  • Expressway vehicle congestion discrimination method based on multi-data source fusion
  • Expressway vehicle congestion discrimination method based on multi-data source fusion

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Embodiment Construction

[0029] The present invention will be further described in detail below in conjunction with specific embodiments.

[0030] A method for judging highway vehicle congestion based on the fusion of multiple data sources, including:

[0031] A1, through the high-speed gantry system to collect the information data of passing vehicles, arrange two to three gantry equipment on the high-speed section, and a section between two adjacent gantry, obtain the hourly flow threshold of the section: according to the service life of each section, The number of lanes, road construction conditions, weather conditions of the day, and the current time period determine the maximum equivalent traffic volume of the section.

[0032] For the determination of the threshold, first select an appropriate equivalent threshold T1 based on the prior experience of historical data, and the threshold will change dynamically with the environment w1, the site construction situation w2, and the current time period s...

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Abstract

The invention provides an expressway vehicle congestion discrimination method based on multi-data-source fusion. Effective data, such as road conditions, expressway geographic information, free flow speed, free flow flow, expressway events, and the like are fused, a clustering algorithm and a big data real-time flow analysis technology are adopted, real-time data analysis from six dimensions including the congestion index, the vehicle speed, the congestion mileage, the congestion trend, the congestion reason and the section flow is achieved, the data source degree is wider, and the accuracy is higher.

Description

technical field [0001] The invention belongs to the technical field of traffic information, in particular to a method for judging expressway vehicle congestion based on the fusion of multiple data sources. Background technique [0002] With the continuous development of the economy, the number of motor vehicles continues to grow, the traffic volume of the road network has increased rapidly and steadily, and the traffic volume of the main busy expressway sections tends to be saturated. Real-time detection of expressway congestion discrimination is one of the most difficult core issues in the field of intelligent transportation, but the existing traditional detection methods suffer from insufficient accuracy and real-time performance. Domestic map operators such as AutoNavi, Baidu, and Tencent can only know the rough congestion location, which is still a big flaw in expressway management. On the one hand, the accuracy of the congestion location is not enough to connect with p...

Claims

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Application Information

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IPC IPC(8): G08G1/01G08G1/065
CPCG08G1/0125G08G1/0137G08G1/065
Inventor 袁红叶金焕春葛海航金庆锋钟丹陈彧张世科王海峰何日升王雪馨
Owner 浙江交投高速公路运营管理有限公司
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