Mobile phone signaling trip chain-based OD matrix acquisition method

Abstract

The invention relates to a mobile phone information processing method, in particular to a mobile phone signaling trip chain-based OD matrix acquisition method. The method includes the following steps that: mobile phone signaling trip chain data of a specified date are acquired according to sampling requirements; an origin point (O point) and a destination point (D point) of a trip are determined according to the mobile phone signaling trip chain data; a sample is expanded according to a sampling coefficient; coarse granularity information OD matrix data are obtained; mode divisional OD matrix data are obtained; a multiple-trip OD matrix data are obtained; and a trip occurrence attraction histogram and a corresponding OD expectation graph are outputted. According to the mobile phone signaling trip chain-based OD matrix acquisition method of the invention, the trip chain data which are depicted by mobile phone signaling information and are simple in acquisition mode, low in acquisition cost, large in sample information and flexible in sampling time are utilized to construct a coarse granularity information OD matrix, a trip mode divisional OD matrix and a multi-destination and multi-trip OD matrix. The mobile phone signaling trip chain-based OD matrix acquisition method has the advantages of high real-time performance and high precision.

Description

technical field [0001] The invention relates to a mobile phone information processing method, in particular to an OD matrix acquisition method based on a mobile phone signaling travel chain. Background technique [0002] The OD survey is the origin and destination survey, in which "OD" represents the origin (Origin) and the destination (Destination). The purpose is to investigate the origin and destination of individual trips, the number of trips between traffic cells, and to obtain data on the composition, direction, and flow of traffic flow on the road network. The current OD survey methods generally refer to the corresponding norms formulated by the American Institute of Transportation Engineering (ITE), the China Highway Society and the Ministry of Housing and Urban-Rural Development of China. Most developing countries and cities mainly use methods such as home visits and telephone interviews, which require a lot of manpower. , financial resources and resources, there a...

AI Technical Summary

Problems solved by technology

[0004] The disadvantage of this technology is that the data source is mobile phone positioning data, but the description of the specific mobile phone positioning data source and data structure is not clear. The mobile phone positioning data source includes CDR and TDR, etc., and the acquisition methods include TDOA and AOA, etc. Different types correspond to different Data Accuracy

Only the departure point and arrival point are considered for the trip, and multiple trips with multiple purposes cannot be identified, so only the OD matrix of coarse-grained information can be obtained, and the OD matrix including multiple trips cannot be obtained

And there is no discrimination for the travel mode of the travel individual, and the travel mode can only be speculated with the help of the four-stage method of transportation mode division model

In addition, this technology does not describe the moving space-time trajectory, so when completing the mapping from the departure and arrival locations to the traffic area, only the departure and arrival location

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