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Expressway congestion early warning method based on multi-data source fusion

A highway and multi-data source technology, applied in the field of traffic information, can solve the problems of no incident, insufficient accuracy of congestion location, and unavailable accident data, etc., to improve the level of informatization, high accuracy, and data source degree wide effect

Active Publication Date: 2022-02-01
浙江综合交通大数据开发有限公司
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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 congestion early warning method based on multi-data source fusion
  • Expressway congestion early warning method based on multi-data source fusion
  • Expressway congestion early warning method based on multi-data source fusion

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Embodiment Construction

[0037] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0038] Such as Figure 1-2 As shown, a highway congestion early warning method based on the fusion of multiple data sources includes the following steps:

[0039] S1, 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, the gantry reads and records the information of passing vehicles in real time and uploads to Big data platform, using big data platform analysis, real-time processing of passing vehicle information data collected by the high-speed gantry system, calculation of section equivalent flow and section weighted vehicle speed. The section equivalent flow rate refers to the standard flow rate converted by the number of vehicles of all models collected by the free flow gantry per unit ...

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Abstract

The invention provides an expressway congestion early warning 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. In addition, in order to enable highway monitoring personnel to know the operation condition of the highway in real time and push congestion information in real time, the operation informatization level of the highway is improved.

Description

technical field [0001] The invention belongs to the technical field of traffic information, and in particular relates to a highway congestion early warning method 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. When the public travels, they are concerned about a series of issues such as whether the highway is blocked today, where it is blocked, when it is blocked, how long it is blocked, and what causes it. Real-time detection of highway congestion early warning 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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G08B31/00
CPCG08G1/0125G08G1/0137G08B31/00
Inventor 何日升王海峰张世科王雪馨梁润润郭聪林为政李永波魏玉琪刘薇潜国胜徐嘉豪
Owner 浙江综合交通大数据开发有限公司
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