Cellular signaling data based track traffic travel mode identification method for resident

Abstract

The invention provides a cellular signaling data based track traffic travel mode identification method for a resident. The method is characterized by comprising the steps of obtaining all cellular signaling data in daily travel of one resident, identifying an effective travel section, constructing a geographic grid system, mapping a track traffic route and the effective travel section into the geographic grid system, and recording position information by using a grid coordinate sequence; and in the grid system, judging whether the travel belongs to the track traffic travel or not according to the position matching of the effective travel section and the track traffic route, the track similarity and an average speed value of the travel section. According to the method, high-timeliness and high-precision judgment on a track traffic travel mode is realized by utilizing mass cellular signaling data; and the method is favorable for a traffic management department to accurately master track traffic route information and reasonably plan the track traffic route, and has an important significance for improving the living quality of residents and the satisfactory degree of city traffic.

Description

technical field [0001] The invention relates to traffic planning and computer application technology, in particular to a method for identifying travel modes of rail transit for residents based on mobile phone signaling data. Background technique [0002] In terms of modern urban transportation planning, reasonable planning of rail transit lines and rail transit stations can effectively solve the problem of road congestion in certain areas of the city and improve the travel efficiency and quality of residents. In order to reasonably plan rail transit lines, it is first necessary to obtain information on rail transit modes in residents’ travel, which can be used for technical support for line planning after analysis. [0003] The traditional ways to obtain travel information of residents are divided into manual survey, video surveillance portrait recognition and IC card data statistics. Manual investigation will greatly reduce the timeliness and applicability of the current r...

AI Technical Summary

Problems solved by technology

Manual investigation will greatly reduce the timeliness and applicability of the current rapidly developing urban traffic situation

The recognition accuracy of the video surveillance method is not high, and there are monitoring blind spots at the same time, the obtained data set is incomplete, and the results are biased

The method of using IC card data for passenger flow statistics cannot be accurately counted for more complicated transfers and travel without leaving the station, and the data has limitations.

[0004] At present, most of the patents include the use of mobile phone signaling data for traffic technology research. Most of them simply use the speed threshold to judge the travel mode. The driving mode or public transportation mode along the subway line has a low judgment accuracy

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