Method and system for detecting road traffic incidents

Abstract

The invention discloses a method and a system for detecting road traffic incidents. The method and the system select traffic occupancy parameters as main parameters of traffic incident detection, and judge whether the traffic incidents exist or not by utilizing the posture that the traffic occupancy parameters basically form a linear growth with the improvement of the traffic crowding degree and using speed parameters as an auxiliary so as to improve the accuracy of the traffic incident detection and the scientificity of decision. The method comprises the following steps of: (1) through the sampling analysis of traffic parameters of a road section, setting a traffic occupancy differential threshold value and a speed threshold value of the road section; and (2) acquiring the traffic parameters of the road section in real time, and judging whether the traffic incidents happen or not by comparing the change of the traffic occupancy with the time with the traffic occupancy differential threshold value and the speed parameters with the speed threshold value.

Description

technical field [0001] The invention relates to a traffic management method and system, in particular to a road traffic incident detection method and system. Background technique [0002] With the rapid development of the urban economy and the sharp increase in car ownership, the demand for urban road traffic has increased significantly, resulting in road traffic congestion and traffic incidents. For this reason, how to conduct statistical analysis based on traffic data collected by video or traffic detectors Obtaining accurate traffic event information has become a common concern of the majority of traffic participants or managers. Because accurate traffic event information is provided to travelers in real time through traffic broadcasts or traffic guidance screens, etc., it can induce them to choose reasonable travel modes and routes, and at the same time provide support for traffic decision-making analysis, which can improve traffic management. It provides efficient, saf...

AI Technical Summary

Problems solved by technology

On the whole, the main advantage of this non-automatic judgment method is that it is convenient and direct; the disadvantage is that it requires witnesses in the local area at the time, continuous observation is required, and specialized personnel are required to screen and confirm the reports, and the workload and intensity of personnel are relatively large. , especially for emergencies, cannot meet the high requirements of timely alarm

[0004] Another commonly used method is to use image processing to determine whether there are slow-moving or stopped vehicles, so as to detect traffic congestion or traffic incidents, but it requires more intensive video detectors and higher capital investment to ensure reliable discrimination. In addition, meteorological conditions also have a greater impact on it; the California algorithm and the catastrophe theory (McMaster) algorithm are mainly used to judge traffic events indirectly by using the traffic flow parameters obtained by traffic detectors, but these algorithms are more suitable for urban expressways. Continuous traffic flow such as expressways or highways is not suitable for discontinuous flow on the urban ground. Because only one set of detectors is set up on one road section, the two detectors are affected by the intersection signal lights, and the traffic parameters have changed greatly in different periods. The random application method will inevitably lead to the distortion of the judgment result

[0005] In addition, the statistical cycle, urban road conditions, detector layout, etc. also have an impact on event detection

The size of the traffic parameter collection cycle affects the judgment results of traffic events. If the statistical cycle is too short, it will be greatly affected by the phase of the signal control green or red light, especially during peak hours. If the statistical cycle is too long, real-time data cannot be obtained. Traffic incident information, so that the information lags and becomes invalid

[0006] The traffic conditions of each section of urban roads are different, and the location of the detectors in each section is also different. The traffic incident judgment based on the above method is not accurate.

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