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Anomaly trajectory detection method for multi-level road-level floating vehicles

A multi-level, floating car technology, applied in road vehicle traffic control systems, traffic flow detection, instruments, etc., can solve problems such as false detection results, difficulty in simultaneously detecting global and local abnormal trajectories, etc.

Active Publication Date: 2020-12-22
CENT SOUTH UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a multi-level road-level detection method for abnormal trajectory of floating vehicles. Rough trajectory expression can easily lead to wrong detection results, and it is difficult to detect global and local abnormal trajectories at the same time

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  • Anomaly trajectory detection method for multi-level road-level floating vehicles
  • Anomaly trajectory detection method for multi-level road-level floating vehicles
  • Anomaly trajectory detection method for multi-level road-level floating vehicles

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Embodiment Construction

[0044] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0045] Such as figure 1 As shown, the embodiment of the present invention provides a multi-level road-level floating car abnormal trajectory detection method, including:

[0046] Step 1, extract the GPS sampling points with the same license plate number and increasing timestamp in the trajectory data points to form the trajectory sequence of different vehicles; according to the passenger-carrying status of the GPS trajectory points, extract the sub-trajectories that continue to be in the passenger-carrying state as a complete travel trajectory ; Select the departure area and arrival area to be analyzed, traverse all travel trajectories, and extract all travel trajectories that pass through the departure area and arrival area as research data.

[0047] S...

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Abstract

The invention provides a multi-level road-level floating vehicle abnormal track detection method. The method comprises the following steps of: extracting GPS sampling points with the same license plate number and progressively increased timestamps in a track data point set to form track sequences of different vehicles; matching the extracted travel track data with an urban road network so as to convert a track point sequence into a road-level road section sequence; and selecting a candidate track with the highest matching degree as the moving track of the travel track data in the urban road network, and expressing the travel path of the original travel track by using the road section sequence where the track point in the candidate track with the highest matching degree is located. According to the method, the condition that a floating vehicle is constrained by the road network is considered, the abnormal track of the floating vehicle is detected globally and locally, and the detected abnormal track is more comprehensive and accurate.

Description

technical field [0001] The invention relates to the fields of spatio-temporal data mining and spatio-temporal statistics, in particular to a method for detecting abnormal tracks of multi-level road-level floating vehicles. Background technique [0002] The continuous popularization of GPS equipment, the continuous development of sensor equipment and computers provide a data basis for solving urban problems, and it becomes more and more convenient to obtain urban geographic data. Among them, the floating car trajectory data has the characteristics of large data volume, low cost, and rich information. Frequent patterns in the floating car trajectory, such as popular routes and hotspot areas, can reveal urban traffic dynamic information and human travel behavior rules, which are very important for improving urban traffic. The level of management and the rationality of urban road planning are of great significance. At the same time, the abnormal patterns of floating car traject...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01
CPCG08G1/0112G08G1/0125
Inventor 刘慧敏倪子和石岩王达陈袁芳
Owner CENT SOUTH UNIV
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