Road matching method for mobile phone switching positioning

Abstract

The invention relates to a road matching method for mobile phone switching positioning, and belongs to the technical fields of mobile phone positioning and traffic information acquisition processing. The method comprises the following steps of: first extracting mobile phone switching positioning data, acquiring a switching sequence of a mobile phone, dividing a road section selection range and judging a motion trend according to base station cells related to the switching sequence, and extracting road section candidates; then rejecting redundant road sections according to the topological structure and attribute information of a road network, and calculating the similarities of matched road sections; and finally determining a final matched road by calculating connectivity values of roads to which each road section belongs. The mobile phone switching positioning data is analyzed and processed, and base station data and road network data are combined, so that the key problems of influence of noise data, absence of known positioning points in the mobile phone switching positioning, road mismatching accumulation and the like about the traffic information acquisition of the mobile phone switching positioning in road matching are solved. The method has the advantages of high road matching operation efficiency, low road mismatching rate, high reliability and the like.

Description

technical field [0001] The invention relates to a road matching method for mobile phone switching and positioning, and belongs to the technical field of mobile phone positioning and traffic information collection and processing. Background technique [0002] In recent years, with the rapid development of the transportation industry, the number of motor vehicles has increased sharply, resulting in frequent traffic congestion and seriously hindering the development of social economy. In order to alleviate and solve urban traffic problems, the collection and analysis of traffic information has become more and more important. Traditional fixed-point traffic information collection technologies, such as loop coil detector technology, infrared detector, ultrasonic detector, video detector technology, etc., can only collect urban road traffic information within a limited range, and the cost is high, and the detection accuracy is affected by the environment However, GPS floating veh...

AI Technical Summary

Problems solved by technology

Traditional fixed-point traffic information collection technologies, such as loop coil detector technology, infrared detector, ultrasonic detector, video detector technology, etc., can only collect urban road traffic information within a limited range, and the cost is high, and the detection accuracy is affected by the environment Larger; GPS floating vehicle technology and electronic tag-based acquisition technology have not been widely used at home and abroad due to high initial investment and limited coverage

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