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Short-term Traffic Volume Forecasting Method for Freeway Similar in Vertical and Horizontal

A technology of expressway and prediction method, which is applied in traffic flow detection, road vehicle traffic control system, prediction, etc., and can solve problems such as unfavorable large-scale promotion and application

Inactive Publication Date: 2020-07-07
CHANGCHUN UNIV OF SCI & TECH
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

[0003] To sum up, in the existing short-term traffic volume forecasting, operators are usually required to have a deep understanding and mastery of relevant knowledge, which is not conducive to large-scale application

Method used

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  • Short-term Traffic Volume Forecasting Method for Freeway Similar in Vertical and Horizontal

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Embodiment Construction

[0024] Below in conjunction with accompanying drawing, the present invention will be further described: as figure 1 As shown, the vertically and horizontally similar short-term traffic volume prediction method of expressway adopts the equipment of server 1, server 2, server 3, and computer 1; server 1 is the existing system server, server 2 is the data ETL server, and server 3 is the data warehouse Server; the original data in server 1 is cleaned and transformed according to the corresponding rules by server 2 and finally loaded into server 3, and computer 1 obtains data through the report display system for display and analysis; the specific steps are as follows:

[0025] Step 1. Collect the expressway toll data by half-hour segment and date;

[0026] Step 2. Construct a longitudinal data sequence matrix based on the half-hour traffic volume data as [f 1,b,c,k , f 2,b,c,k ,..., f a-1,b,c,k ] T , where f a,b,c,k Indicates the traffic sequence vector, a=1, 2,..., n represe...

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Abstract

The invention relates to a short-term traffic volume prediction method for highways that is similar vertically and horizontally. It is characterized in that the equipment used is server A, server B, server C, and computers; server A is an existing system server, and server B is a data ETL server. C is the data warehouse server; the original data in server A is cleaned and converted according to the corresponding rules through server B and finally loaded into server C. The computer obtains the data through the report display system for display and analysis; it improves the seasonal effect in traffic volume forecasting. Anti-interference ability expands the application scope of short-term traffic volume prediction methods.

Description

technical field [0001] The invention relates to a method for predicting short-term traffic volume of expressways similar in length and width, and belongs to the technical field of computer data mining. Background technique [0002] Currently, traffic forecasting has been considered as a problem from different perspectives: such as time series problems, regression and function approximation problems, clustering or pattern recognition problems, or even all of the above. Cheng et al. used the spatiotemporal autocorrelation structure of the road network to establish a spatiotemporal prediction model. Thomas et al. used a single time series for short-term and long-term forecasting after an extensive study of 20 intersections in the city of Almeiro, the Netherlands. Qi et al. proposed an adaptive single exponential smoothing method to predict short-term traffic flow by optimizing the exponential smoothing coefficient through approximate dynamic programming. Jiang et al. introduc...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01G08G1/065G06Q10/04G06Q50/30
CPCG06Q10/04G08G1/0125G08G1/065G06Q50/40
Inventor 李松江杨迪邱宁佳袁强王鹏李岩芳
Owner CHANGCHUN UNIV OF SCI & TECH
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