Method for identifying trip mode based on mobile phone signal data

Abstract

The invention provides a method for identifying a trip mode based on mobile phone signal data. The method is characterized by comprising the following steps of: establishing a virtual sensor network; then configuring reasonable value ranges of three properties of five trip modes according to prior knowledge, wherein the value ranges are represented by using segmented linear functions and are called as probability mapping functions; acquiring the mobile phone signal data; computing a probability numerical value based on a line by using path matching based on the virtual sensor network; computing probability numerical values based on three properties such as distance, time consumption and speed; and judging which trip mode a mobile phone user belongs to by using the probability numerical values. The method has the advantages that: the conventional communication network resource is fully relied on, a method which realizes flexible structure, easiness of expansion and simple computation is adopted, the mobile phone signal data of a single complete trip process of a traveler are taken as inputs, automatic identification of five conventional trip modes is realized, and trip mode-relatedinformation with high timeliness is further acquired.

Description

Technical field [0001] The invention relates to a travel mode identification method based on mobile phone signal data, which is used to mine travel mode traffic demand information from a new data source of mobile phone signal data, which can be used for traffic planning, traffic demand management, traffic policy evaluation, and traffic Operation management services belong to the technical field of transportation planning and management methods. Background technique [0002] The travel mode composition structure is important traffic demand information, which is important for the rational implementation of the public transport priority strategy, optimization of urban multi-mode transfer efficiency, implementation of structural traffic demand management, targeted development of guided infrastructure construction, and ultimate relief The traffic congestion situation plays an important role in supporting data. [0003] In recent years, with the rapid development of my country's economy...

AI Technical Summary

Problems solved by technology

Due to the high cost, many people involved and the difficulty in organizing the traditional travel survey method of residents, this method of information acquisition can usually only be implemented in large-scale cities, and the implementation period lasts for several years

In this way, only quasi-static travel mode information corresponding to a long period of time can be obtained, and it cannot quickly reflect the changing law of traffic patterns in a short period of time.

This traditional method of obtaining information on travel modes cannot fully meet the needs of traffic planning and management in the new era.

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