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Regional traffic jam correlation calculation method based on space-time association rule

A technology of correlation calculation and spatio-temporal correlation, which is applied in computing, computer parts, instruments, etc., can solve the problems that cannot reflect the long-term spatio-temporal correlation of congestion correlation

Pending Publication Date: 2020-04-14
BEIJING JIAOTONG UNIV
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Problems solved by technology

Current research on the spatio-temporal correlation of traffic congestion cannot reflect the long-term spatio-temporal correlation of traffic congestion

Method used

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  • Regional traffic jam correlation calculation method based on space-time association rule
  • Regional traffic jam correlation calculation method based on space-time association rule
  • Regional traffic jam correlation calculation method based on space-time association rule

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Embodiment Construction

[0066] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0067] Such as Figure 1~2 Shown, a kind of traffic jam spatio-temporal correlation calculation method based on spatio-temporal association rule of the present invention, comprises the following steps:

[0068] Step 1: Divide the urban road area of ​​the research area into a grid area of ​​1km*1km;

[0069] Step 2: Calculate the average velocity and flow data of the grid area;

[0070] First, two adjacent checkpoints in the same direction form a road section, and the average speed of vehicles passing through the road section in a certain period of time is counted to obtain the average speed of the road section in this period; secondly, the number of road sections in the grid is counted, and the average speed of the grid area is The speed is the average speed of all road sections, and the traffic flow in the grid area is the sum of the traffic flow of all ro...

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Abstract

The invention provides a regional traffic jam correlation calculation method based on the space-time association rule. Road condition early warning can be provided for traffic management personnel andtravelers, and evolution and propagation of traffic jam can be effectively avoided and relieved. According to the specific implementation scheme, regional division is conducted on a road network, andregional traffic flow and speed data are collected; the historical traffic data is clustered by using a clustering algorithm fusing FCM and kmeans + + to obtain a traffic state of the region; and then a congestion transaction set is constructed and the correlation between the regions in the strong correlation rule is calculated according to the correlation index by using a space-time correlationrule algorithm, thereby obtaining the region information with strong correlation relationship in the same time period. The data used in the method is easy to collect, the association rule of the congestion region is rapidly and conveniently obtained through a big data mining method, and the method has actual operation value.

Description

technical field [0001] The invention relates to the technical field of intelligent transportation systems, in particular to a method for calculating the correlation of regional traffic congestion based on spatio-temporal association rules. Background technique [0002] The urban transportation system is one of the most important basic security facilities for urban social and economic life. At the end of 2017, more than half of China's urbanization rate has brought more traffic demand to cities. At the same time, the number of motor vehicles maintained a growth rate of more than 10%, and the number of motor vehicles in most provincial capital cities and second-tier cities in the country is more than 2 million. A large number of people and vehicles gather in the city, and the operating pressure of the urban traffic system continues to rise. The original road facilities, planning, and traffic management cannot respond in time, resulting in frequent road congestion, reduced dri...

Claims

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Application Information

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IPC IPC(8): G06F16/2458G06K9/62G06Q50/26
CPCG06F16/2465G06Q50/26G06F18/23
Inventor 王美红谢东繁赵小梅周广京
Owner BEIJING JIAOTONG UNIV
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