Road congestion early warning and congestion forming time prediction method

A time prediction and road technology, applied in the field of intelligent transportation, can solve the problem of unpredictable traffic congestion formation time, avoid seasonal or temporal influence, and improve computing efficiency

Active Publication Date: 2017-06-09
ENJOYOR COMPANY LIMITED
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Problems solved by technology

[0005] In order to overcome the shortcomings of the inability to predict the formation time of traffic congestion in the existing intelligent transportation technology, the present invention provides a road congestion early warning and congestion formation time prediction method for effectively predicting the formation time of traffic congestion and effectively performing road congestion early warning

Method used

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  • Road congestion early warning and congestion forming time prediction method

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example 1

[0072] Example 1: The patent of the present invention uses the Hangzhou elevated checkpoint data as the original data, and all use the road checkpoint data from south to north. The middle bayonet of Wansongling Road on Zhonghe Elevated is called Wansongling for short, and the middle bayonet of Qingchun Road on Zhonghe Elevated is called Qingchun Road for short. The process of road congestion warning and congestion formation time prediction method is as follows:

[0073] Step 1 Historical data acquisition and preprocessing

[0074] Obtain and save the historical data of the bayonet. The data collected by the bayonet is subject to large fluctuations due to the influence of noise and data acquisition devices. First, it is processed by Gaussian filtering to facilitate subsequent data analysis. figure 2 with image 3They are the flow and speed comparison charts before and after filtering on Qingchun Road in Hangzhou on a certain day. The original data is represented by the '-.' ...

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Abstract

The invention discloses a road congestion early warning and congestion forming time prediction method. The road congestion early warning and congestion forming time prediction method comprises steps that step1, road flow and speed historical data in D days is acquired, and Gaussian filtering processing is carried out; step2, a flow increasing slope reference value k of a road segment about to be congested, a congestion forming time reference value t, and a ratio p of a flow continuously exceeding the reference value are calculated; step3, a flow early warning threshold value is calculated in a real-time manner, and according to a road segment historical flow increasing slope k and i-1 moment real-time flow increasing slope Ki-1, a real-time flow early warning threshold value Tli is calculated, and when a current flow exceeds the Tli, flow alarms are given, and real-time congestion forming time is calculated; step 4, according to the road segment historical flow increasing slope k and the current real-time flow increasing slope Ki, the ratio p of the road segment historical flow continuously exceeding the reference value, and the ratio Pi of the real-time flow continuously exceeding the Tli, and a road segment historical congestion forming time reference value, real-time congestion forming time T is calculated. The traffic congestion forming time is predicted effectively, and the road congestion early warning is realized effectively.

Description

technical field [0001] The invention belongs to the field of intelligent transportation, and relates to a road congestion warning and a congestion formation time prediction method. Background technique [0002] With the continuous improvement of the living standards of residents in social development, the number of private cars continues to grow rapidly, and the contradiction between urban road infrastructure and traffic demand is becoming more and more obvious, which is reflected in the varying degrees of traffic congestion in most large and medium-sized cities around the world. Traffic congestion not only reduces the travel efficiency of residents, but also causes a lot of waste of resources, environmental pollution and traffic accidents, which seriously affects the sustainable development of cities. It is a problem that many cities are facing and need to solve urgently. According to the analysis of traffic conditions in large cities in developed countries by the British c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01
Inventor 钱小鸿王开红李建元陈涛蒋伶华李丹
Owner ENJOYOR COMPANY LIMITED
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