Traffic jam grade detection method based on cellphone signal data

A technology for traffic congestion and detection methods, applied in traffic flow detection, location-based services, etc., can solve the problems of processing mobile phone signal data, obtaining real-time and predicted traffic conditions, etc., and achieve the effect of stable data volume.

Active Publication Date: 2014-12-10
SHANGHAI MEIHUI SOFTWARE
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AI Technical Summary

Problems solved by technology

Previous methods and systems cannot process cell phone signal data with the basic knowledge of traffic science or traffic engineering, or for various

Method used

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  • Traffic jam grade detection method based on cellphone signal data
  • Traffic jam grade detection method based on cellphone signal data

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Embodiment Construction

[0088] In order to make the present invention more comprehensible, preferred embodiments are described in detail below with accompanying drawings.

[0089] A kind of method that the present invention provides based on mobile phone signal data detects traffic state, and the steps are:

[0090] Step 1, use the electronic map of the road network to match the mobile phone base station with the current road, obtain a list of mobile phone base stations near the current road, and establish a virtual sensor network based on the location information of the mobile phone base station;

[0091] Step 1.1, obtaining the center position of the coverage area of ​​each mobile phone base station in the mobile phone network;

[0092] Step 1.1.1, using the obtained mobile phone signal data to obtain a list of all mobile phone base stations;

[0093] Step 1.1.2, use the mobile operator service provider or other third-party tools to obtain the location information of all mobile phone base stations...

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Abstract

The invention relates to a traffic jam grade detection method based on cellphone signal data, in particular to a technique for detecting existence and severity of traffic jam through the cellphone signal data. According to the technique, a correspondence between a road segment and a cellphone network is established first, the cellphone signal data collected is then analyzed to obtain cellphone signals within detection intervals, a plurality of feature variables used for jam detection are calculated, the feature variables are analyzed by an adaptive detection algorithm established, and the traffic jam and its severity are judged. The technique is characterized in that the feature variables are provided on the basis of cellphone signal analysis, and a corresponding adaptive detection algorithm is provided. The technique has the advantages that the existing mobile communication network resources and information in the existing cellphone communication networks can be fully utilized to perform large-range real-time traffic status monitoring in a short time; meanwhile, detection precision is higher, and the use of the adaptive algorithm decreases consumption of the traditional algorithms in parameter calibration.

Description

technical field [0001] The invention relates to a traffic congestion classification detection method based on mobile phone signal data, which is suitable for traffic transportation management and traffic information service industries, and belongs to the technical field of methods for detecting traffic states by using mobile phone signals. Background technique [0002] Intelligent Transportation System (Intelligent Transportation Systems, referred to as ITS) is the use of modern information and communication technology to closely coordinate all parts of the transportation system, that is, people, vehicles, and roads, to play a role in a wide range of real-time and accurate , Efficient traffic monitoring and management system. ITS can effectively make full use of existing transportation facilities, reduce traffic congestion, reduce environmental pollution, ensure traffic safety, improve transportation efficiency, thereby promoting social and economic development and improving...

Claims

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Application Information

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IPC IPC(8): G08G1/01H04W4/02
Inventor 冉斌程阳金璟丁璠李庆
Owner SHANGHAI MEIHUI SOFTWARE
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