Mobile phone information based section speed calculation method

Abstract

The invention relates to a mobile phone information based section speed calculation method. The method is used for calculating the average speed information of a vehicle at each section through the analysis and the treatment of mobile phone information and the combination of traffic road position and direction. The key points of calculating the section average speed lies in massive data processing and precise positioning of a mobile phone user in a movement process. The problems are solved through two-stage three-time map matching in the invention. The map matching at the first stage comprises the following step of: matching Cell with sections, and the map matching at the second stage comprises the following steps of: establishing a subordination relationship of mobile phone data points and the sections through matching user data points with the sections two times, finally calculating the traffic speed of each user on the sections by using the Cell position in which continuous data points are located and the time, removing part of abnormal speeds in the traffic speeds, summing the traffic speeds and averaging the sum to obtain the average speed of each road. In the invention, the large amount of calculation caused by directly matching each data point with the sections is avoided, and the calculation efficiency is improved. The accuracy of the mobile phone data and the sections is improved through a proximity principle and a direction consistency principle.

Description

technical field [0001] The invention belongs to the field of traffic information collection and processing, and relates to a method for calculating the average speed of road sections by using mobile phone information. Background technique [0002] The acquisition of traffic flow data is playing an increasingly important role in modern traffic management and planning. It can not only provide decision-making basis for management departments, but also provide travel services for the public. At present, the collection of road traffic speed and flow is mainly obtained by installing traffic detectors on the road, such as induction coils and video detectors. This method requires the installation of detector equipment on the road. Carrying out construction and erecting auxiliary facilities on the ground consumes manpower and material resources. And due to cost and road constraints, it is impossible to implement on all roads, so the coverage is low. With the rapid development of ur...

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the shortcomings of the low sampling rate of detector equipment and the need for installation, erection and maintenance, the present invention provides a method for obtaining the average speed of road traffic through fast and accurate processing and calculation of mobile phone mobile information

This method can effectively solve the problem that the huge amount of mobile phone information data currently exists, which leads to the problem of consuming more time and resources in the processing process, as well as the difficulties of abnormal data and useless data, and the upload time of information is not continuous, and the difficulty of calculation accuracy is difficult to guarantee.

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