A system and method for identifying a driver of a vehicle by a trajectory association degree

A trajectory correlation, vehicle driving technology, applied in the field of traffic big data, can solve the problems of increasing the maintenance cost of urban road order, urban traffic jams and frequent traffic accidents, and achieves the improvement of accuracy and perfection, accurate and rapid identification and determination. Effect

Inactive Publication Date: 2019-06-21
成都市公安科学技术研究所 +2
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  • Application Information

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Problems solved by technology

[0002] The rapid expansion of the city has brought about the rapid expansion of the urban population, followed by traffic congestion and frequent traffic accidents caused by vehicles, increasing the cost of maintaining urban road order

Method used

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  • A system and method for identifying a driver of a vehicle by a trajectory association degree
  • A system and method for identifying a driver of a vehicle by a trajectory association degree
  • A system and method for identifying a driver of a vehicle by a trajectory association degree

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Embodiment Construction

[0013] According to one or more embodiments, such as figure 2 As shown in Fig. 1 , a system for identifying vehicle drivers through trajectory correlation degree, the system includes a time series trajectory acquisition module, a data cleaning module and a trajectory correlation degree calculation module.

[0014] The time-series trajectory collection module is used to collect time-series trajectory data including vehicle driving trajectory and driver behavior trajectory, and form a trajectory database.

[0015] The data cleaning module is used to process and integrate data including vehicle information and driver information, classify and match the collected trajectory data, restore the trajectory in combination with time and space dimensions, and determine the division of dimension intervals according to business needs. A three-dimensional resonance map is formed with the three elements of the vehicle trajectory scene and the driver's behavior trajectory, time, and space. ...

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Abstract

The invention discloses a system for identifying a vehicle driver through track association degree. The system comprises a time sequence track acquisition module, a data cleaning module and a track association degree calculation module. The time sequence track acquisition module is used for acquiring time sequence track data comprising the vehicle driving track and the behavior track of the driverand forming a track database. The data cleaning module is used for processing and integrating data including vehicle information and driver information and after classifying and matching the collected track data, performing track restoration by combining time and space dimensions, determining and dividing dimension intervals according to business requirements, and respectively forming a three-dimensional resonance image taking the vehicle track scene and the behavior track, time and space of the driver as three elements. And the track correlation degree calculation module is used for comparing the vehicle track with the behavior track of the driver according to the determined dimension interval, setting a resonance threshold value according to business requirements, setting a group exceeding the threshold value as a group with high track matching degree, and determining the current driver of the vehicle from the group.

Description

technical field [0001] The invention belongs to the technical field of traffic big data, and in particular relates to a system and method for identifying vehicle drivers through trajectory correlation. Background technique [0002] The rapid expansion of the city has brought about the rapid expansion of the urban population, followed by traffic jams caused by vehicles and frequent traffic accidents, which have increased the cost of maintaining urban road order. In the handling of vehicle accidents, quickly determining the driver information of the accident vehicle is a very important link for improving the efficiency of subsequent accident handling events and reducing law enforcement costs. [0003] At the same time, with the rapid development of positioning technology and the improvement of road monitoring systems, it is feasible to establish an analysis system for vehicle behavior in terms of improving urban traffic flow and quickly locating drivers at the time. Because i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/215G06F16/2458
Inventor 赖宇闵圣捷彭京贺晨阳白云李建赵敬千杨伟华谢伯栋张仕洪李绍富李成曹国栋林里睿严思达匡璐谢涛李小龙陈才勇唐静魏卓
Owner 成都市公安科学技术研究所
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