A traffic travel mode recognition method based on mobile phone positioning

Abstract

The invention discloses a mobile phone location based transportation mode identification method. The mobile phone location based transportation mode identification method includes the following steps of step one, acquiring a mobile phone position coordinate through a mobile phone location algorithm; step two, determining a travel route according to the mobile phone position coordinate, and calculating a mobile phone positioning movement speed; step three, applying a multi-feature matching method to multi-mode traffic identification. According to the mobile phone location based transportation mode identification method, the multi-feature matching method for traffic mode identification is established to perform collection, analysis and spatial-temporal feature matching on mobile phone location information, so that three typical travel modes of bus travel, self-driving (or taxi) travel or walking travel can be accurately identified. By means of popularization and application of the mobile phone location based transportation mode identification method, a data support can be provided for urban traffic planning, construction and operation management, and scientific decision-making by a traffic management department is facilitated.

Description

technical field [0001] The invention relates to the technical field of traffic information services, in particular to a mobile phone positioning-based traffic travel pattern recognition method. Background technique [0002] Traffic congestion is one of the most important problems faced by urbanization. In order to solve the problem of traffic congestion, people have proposed different solutions, among which scientific planning and scheduling is considered to be an effective means to solve the problem of traffic congestion, and the basis of scientific planning and scheduling is the mastery of traffic travel information. There are many ways to collect traffic travel information. At present, the main collection methods are summarized as fixed-point collection and mobile collection. Fixed-point acquisition methods include induction coil detector acquisition, ultrasonic detector acquisition, infrared detector acquisition, microwave detector acquisition, video detector acquisitio...

AI Technical Summary

Problems solved by technology

There are also experts who use mobile phone location information to study traffic travel pattern recognition, but there are the following problems in the recognition method: (1) It is mainly realized by algorithms such as neural network and fuzzy recognition. 2) The accuracy of recognition is not high, and it has little effect on decision-making; (3) It is mainly research in nature, and there is still a long distance from the actual promotion and application

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