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Vehicle trajectory classifying method for detecting traffic incidents

A vehicle trajectory and classification method technology, applied in traffic flow detection and other directions, can solve complex problems and achieve the effects of accurate results, accurate vehicle driving patterns, and simple trajectory classification.

Inactive Publication Date: 2013-02-27
上海交通大学无锡研究院
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Problems solved by technology

[0003] The purpose of the present invention is to provide a vehicle trajectory classification method for traffic incident detection with relatively simple trajectory classification and relatively accurate results in view of the relatively complicated problems of traditional algorithm methods

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  • Vehicle trajectory classifying method for detecting traffic incidents
  • Vehicle trajectory classifying method for detecting traffic incidents

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Embodiment Construction

[0026] What the present invention mainly utilizes is the trajectory of the vehicle.

[0027] Firstly, the trajectory is extracted, and the coordinate values ​​of the corresponding points are obtained and recorded, and then fitted by the least square method. For fitting, the commonly used fitting formulas are shown in (1) and (2), that is, one is a linear equation and the other is a parabolic equation. However, at traffic intersections, the form of vehicles has both straight and There are also corners, so in the fitting process, what is used is a quadratic polynomial, that is, the expression in formula (2).

[0028] y=ax+b (1)

[0029] y=ax 2 +bx+c (2)

[0030] After selecting the used expression, the present invention just fits the points on the track. In this fitting method, at first the first two points are selected for fitting, and after that, one point is added at a time until the approximation error is greater than a certain threshold value, at this point, the curve f...

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Abstract

The invention discloses a vehicle trajectory classifying method for detecting traffic incidents, which comprises the following steps: extracting trajectories of vehicles and recording coordinates of trajectory points; performing least square fitting of quadratic polynomial y=ax<2>+bx+c with regard to the recorded trajectory coordinates; judging the driving way of the vehicle according to a fitting result. The method disclosed by the invention has advantages as follows: 1, the trajectory classification is simpler; the method adopts the least square fitting rather than a traditional clustering algorithm, so the obtained result is judged by direct calculation without providing some trajectories in advance; and 2, the obtained result is relatively precise. Comprehensive judgment of 'Double Fitting' is adopted in the method disclosed by the invention, so the obtained driving way of the vehicles is more precise.

Description

technical field [0001] The invention belongs to the technical field of traffic video monitoring and detection, and in particular relates to a vehicle track classification method for traffic event detection. Background technique [0002] Currently available trajectory extraction technologies are mostly based on clustering algorithms to cluster vehicle trajectories. The complexity of this method is relatively high, and several types of trajectories for clustering need to be set in advance, and the rationality and effectiveness of these trajectories must also be fully considered. For trajectory classification, existing methods include hidden Markov models, neural networks, etc., but these methods are too complicated, which increases the workload of the entire trajectory classification process. Contents of the invention [0003] The purpose of the present invention is to provide a vehicle trajectory classification method for traffic event detection with relatively simple traj...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01
Inventor 俞超张重阳杨小康
Owner 上海交通大学无锡研究院
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