A Classified Traffic Congestion Detection Method Based on Cell Phone Signal Data
A technology of traffic congestion and detection method, which is applied in the direction of traffic flow detection and service based on location information, etc. It can solve the problems of processing mobile phone signal data and obtaining real-time and predicted traffic status, and achieves the effect of stable data volume
Active Publication Date: 2016-07-27
SHANGHAI MEIHUI SOFTWARE
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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 reasons, can only use a small part of cell phone signal data, which has a great impact on obtaining real-time and predicted traffic status. difficulty
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[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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A traffic jam classification detection method based on mobile phone signal data, the invention relates to a technique for detecting the existence and severity of traffic jam by using mobile phone signal data. This technology first establishes the corresponding relationship between the road section and the mobile phone network, then analyzes the collected mobile phone signal data, obtains the mobile phone signal within the detection time interval, calculates several characteristic variables for congestion detection, and then uses the established adaptive detection The algorithm analyzes these characteristic variables to obtain a judgment on congestion and its severity. It is characterized by characteristic variables proposed based on mobile phone signal analysis, and a corresponding self-adaptive detection algorithm. The invention has the advantages of fully utilizing the existing mobile communication network resources and the information in the existing mobile phone communication network, and can complete real-time traffic state monitoring in a wide range in a short time. At the same time, the accuracy of detection is increased, and the consumption of parameter calibration of previous algorithms is reduced by using an adaptive algorithm.
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 Systems (Intelligent Transportation Systems, referred to as ITS) is a real-time, accurate and efficient system that uses modern information and communication technology to closely coordinate all parts of the transportation system, namely people, vehicles, and roads, and play a role in a wide range of areas. transportation 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 deve...
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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