Processing method of cell phone signaling information for dividing traffic zones

Abstract

The invention belongs to the technical field of acquisition and analysis of urban traffic data and particularly relates to a processing method of cell phone signaling information for dividing traffic zones. The processing method comprises the following steps of washing cell phone signaling data and eliminating abnormal data; matching base station position information corresponding to the cell phone data with a road; establishing traffic semantic classification based on the cell phone signaling information; selecting and distinguishing cell phone base station characteristics according to the condition of the traffic semantic classification; extracting the cell phone signaling information to obtain the cell phone base station characteristics; carrying out clustering analysis on the cell phone base station characteristics so as to divide the traffic zones. The operation of carrying out traffic zone division on cities by using the cell phone signaling data is consistent with the tendency of big data digging in current; semantic division has a simplification effect on actual class division of base stations, and the attributes of regions and the base stations can be effectively and automatically identified; the urban traffic zones can be rapidly and directly divided; the processing method has the advantages that the data acquisition is easy, the division cost is low and the division is rapid and direct.

Description

technical field [0001] The invention belongs to the technical field of urban traffic data collection and analysis, and in particular relates to a method for processing signaling information of a mobile phone used for traffic district division. Background technique [0002] At present, the analysis, mining and management application of massive data has become the bottleneck of modern transportation services. Among these data, the analysis and mining of trajectory data mainly focus on the extraction of trajectory temporal and spatial distribution features. Due to the lack of association with application semantics, the development of specific applications is stagnant. [0003] Urban road network traffic district is to reduce the complexity of traffic control and management system, decompose the complex traffic network into several traffic areas, and coordinate and optimize the traffic areas. The division of traffic districts was first proposed in the field of traffic planning....

AI Technical Summary

Problems solved by technology

At present, the division method of traffic-related traffic areas is mainly carried out through manual survey and manual statistics, which is time-consuming and laborious, and the accuracy of the data cannot be guaranteed

[0006] The traditional method consumes time, manpower and material resources. It takes about 1.7 million yuan and a lot of manpower to do an origin-destination survey in Beijing. The data obtained by this method is only a snapshot of the current travel status, and it will take several years to update the data. The method of obtaining OD data based on mobile phone positioning data only needs to obtain mobile phone movement records from the operator, and the acquisition of these records does not require additional investment (for example, upgrading base stations or mobile terminals)

If the accuracy of traffic area division cannot be guaranteed, it will affect the follow-up research

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