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Rapid road congestion index estimation and prediction method

A congestion index and fast road technology, applied in the field of intelligent transportation, can solve problems such as lack of flexibility, inconvenient practical application, and staying in the theoretical stage

Inactive Publication Date: 2015-06-03
蔡诚昊
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AI Technical Summary

Problems solved by technology

The urban express road congestion index is an important indicator to measure the traffic flow status. Most of the existing road congestion index prediction methods are very complicated and only stay in the theoretical stage, lacking flexibility and adaptability, and it is very inconvenient to apply in practice.

Method used

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  • Rapid road congestion index estimation and prediction method

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Embodiment Construction

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

[0030] A method for estimating and predicting the congestion index of express roads. Taking a viaduct in Hefei as an example, a vehicle capture system is installed at about 20 meters behind the barrier gate at the entrance of the ramp, and the average vehicle speed, actual Traffic quantity, calculate traffic density and congestion index; and set 2-3 microwave flow detection devices in the section between two ramps according to the length of the traffic section, and calculate the congestion index of each section by section.

[0031] According to the collected traffic flow data, the congestion index estimation model is established according to the formula [1]-[4], and the congestion index of each time node from 6:00 am to 24:00 pm throughout the day is calculated. The obtained data are shown in Table 1 ;

[0032] La=v×3 [1]

[0033] N max ...

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Abstract

The invention relates to a rapid road congestion index estimation and prediction method which comprises the following steps: mounting a detection device on a selected road section, and acquiring traffic flow data in real time according to set time periods; according to the acquired traffic flow data, establishing a congestion index estimation model, and calculating the congestion index of a corresponding time node; fitting corresponding congestion indexes of different time nodes within the set time period, establishing a congestion index prediction model of the selected road section, and performing congestion state prediction. By adopting the rapid road congestion index estimation and prediction method, a practical expanding application for roads is achieved through obtained traffic index, a better guiding effect on daily vehicle trips is realized, and a basis is provided for future city traffic management.

Description

technical field [0001] The invention relates to the technical field of intelligent transportation, in particular to a method for estimating and predicting the congestion index of express roads. Background technique [0002] In recent years, the number of cars in my country has increased sharply, and urban roads are facing huge load-bearing pressure, especially urban express roads such as expressways, overpasses, and viaducts in the city. A series of problems such as increased consumption, increased air pollution, and decreased urban happiness. [0003] According to incomplete statistics, the average daily traffic jam time in Beijing in 2013 was 1 hour and 55 minutes, and the annual loss due to traffic congestion in Beijing reached 70 billion yuan, including time loss, fuel loss and environmental costs. The urban express road congestion index is an important index to measure the traffic status. Most of the existing road congestion index prediction methods are very complicated...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01
CPCG08G1/0133
Inventor 蔡诚昊
Owner 蔡诚昊
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