Method and device for classifying traffic zone

A technology for traffic districts and divisions, applied in the field of traffic information, can solve the problems that traffic districts cannot reflect the internal traffic characteristics in real time and accurately, and lack of research on internal traffic characteristics

Active Publication Date: 2013-01-23
CENNAVI TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The urban traffic system is a dynamic system with stochastic characteristics. The traffic districts divided according to the geographical location of the urban area, road traffic flow information and the actual road network separation lack the

Method used

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  • Method and device for classifying traffic zone
  • Method and device for classifying traffic zone

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] An embodiment of the present invention provides a traffic area division method, such as figure 1 shown, including:

[0048] 101. Grid the area to be divided according to the actual road network conditions of the area to be divided.

[0049]Among them, the area to be divided is selected according to the actual needs of the user. Generally, the area to be divided is the area to be implemented for traffic control and construction. The area to be divided is divided into two or more grids according to the actual road network, and the road network composed of roads at or above the provincial level in the area to be divided can be selected for division.

[0050] 102. Within a first preset time period, obtain the number of communication records of each base station in each grid, and then obtain a discrete value of the number corresponding to each base station; the discrete value of the number is in the first preset A set of values ​​in which the number of communication record...

Embodiment 2

[0062] An embodiment of the present invention provides a traffic area division method, such as figure 2 shown, including:

[0063] 201. In at least two different pre-selected sampling areas, obtain the number of communication records of the sample base stations in each sampling area in the second preset time period, and generate at least two characteristic curves according to the number of communication records of the sample base stations .

[0064] Among them, the sample base stations in the sampling area have typical communication characteristics. By obtaining the number of communication records of the sample base stations in the sampling area in the second preset time period, a characteristic curve that can represent the communication characteristics of the sampling area is obtained. In order to make the characteristic curve completely represent the sampling According to the communication characteristics of the area, the second preset time period can be set as one day. F...

Embodiment 3

[0099] An embodiment of the present invention provides a device for dividing traffic areas, such as Figure 6 shown, including:

[0100] The division unit 31 is configured to grid the area to be divided according to the actual road network conditions of the area to be divided.

[0101] The obtaining unit 32 is used to obtain the number of communication records of each base station in each grid within the first preset time period, and then obtain the discrete value of the number corresponding to each base station; the discrete value of the number is in the A set of values ​​in which the number of communication records in the first preset time period changes with time.

[0102] The comparison unit 33 is configured to, for each base station, compare the sum of the difference squares between the discrete value of the number of each base station and a set of preset characteristic curves, and select the discrete value corresponding to the number of discrete values ​​of each base st...

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Abstract

The invention discloses a method and a device for classifying a traffic zone, which relates to the traffic information field, and is characterized in that a classified traffic zone can accurately reflect the intrinsic traffic characteristics in real time. A scheme is as follow: a zone to be classified is gridded according to a real road network; communication record quantity of each base station in each grid is acquired within a first preset time period, and a quantity discrete value corresponding to each base station is obtained; sum-and-square difference comparison is conducted for the quantity discrete value of each base station and a preset group of characteristic curves, and a minimal error characteristic curve with the minimal sum-and-square difference of the quantity discrete value of each base station is selected; the corresponding base station with the same minimal error characteristic curve is classified into the same base station type; the quantity ratio of base stations of the same base station type is calculated in each grid; the type of the grid is determined according to the base station type with the maximal quantity ratio of the base stations in the grid; and the adjacent grids with the same grid type are merged to form a traffic zone. The method and the device are used for classifying the traffic zone.

Description

technical field [0001] The invention relates to the field of traffic information, in particular to a method and device for dividing traffic areas. Background technique [0002] Before the urban traffic management system implements traffic control and construction, it needs to analyze the traffic situation in the urban area to ensure the rationality of the control and construction measures. In recent years, the scope of cities has continued to expand, and the urban traffic situation has become increasingly complex. The entire urban area is divided into multiple traffic districts to reduce the complexity of the analysis objects of the urban traffic management system and facilitate the traffic control and construction of the urban traffic management system. Traffic area refers to a collection of nodes and links with a certain degree of traffic correlation and traffic similarity, which changes with time, correlation and similarity, reflecting the spatiotemporal characteristics o...

Claims

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Application Information

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IPC IPC(8): G08G1/00
Inventor 马三立
Owner CENNAVI TECH
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