Method for extracting real-time urban road traffic flow data based on mobile phone positioning data

Abstract

The invention discloses a method for extracting real-time urban road traffic flow data based on mobile phone positioning data. The method comprises the following steps of: 1, preprocessing the mobile phone positioning data and map data; 2, determining a candidate matching road section of the mobile phone positioning data and a rough matching point set of each road section; 3, extracting vehicle-mounted mobile phone data, namely determining a fine matching point set of each road section; and 4, calculating space mean speed of the road section by a space speed weighted average method. The method is a dynamic and real-time traffic flow data acquisition method with a large coverage area and low acquisition cost; a traffic information acquisition mode and a source of an intelligent transportation system are enriched; and the method has positive significance to constructing the urban intelligent transportation system and improving the road operation management level.

Description

technical field [0001] ITS (Intelligent Transportation System), as an effective means to improve road operation efficiency, improve road operation environment and ensure traffic safety, has become a research hotspot in the field of transportation at home and abroad. Real-time, accurate and diverse traffic data collection is the key and foundation for the establishment and application of intelligent transportation systems. The invention relates to the field of intelligent transportation applications, in particular to a method for extracting real-time urban road traffic flow data based on mobile phone positioning data. Background technique [0002] At present, there are two main types of traffic data collection methods: one is based on fixed vehicle detectors, commonly used microwave detectors, coil detectors, infrared detectors, video detectors, ultrasonic detectors, etc. It is collected based on mobile vehicle detection equipment, commonly used are vehicle-mounted GPS posit...

AI Technical Summary

Problems solved by technology

[0012] The purpose of the present invention is to formulate preprocessing rules based on cell phone positioning data characteristics of the cell identification number to eliminate errors and redundant data; use the storage method of time window to dynamically update data to ensure the real-time performance of data processing; The switching effect data is extracted from the mobile phone data on the vehicle; for the urban road network, the point-to-line map matching method based on the road section is used to determine the matching point and the matching road section, and finally calculate the spatial average speed of each road section, thus effectively solving the current problem in this field For the problems of insufficient analysis and processing of actual data, poor real-time performance, and low efficiency of map matching algorithms, a set of methods for real-time data processing and generating results was established.

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