Microwave-based vehicle queuing length detection method and system

Abstract

The invention discloses a microwave-based vehicle queuing length detection method and system. The system includes an array antenna module, a radio frequency module, a model database, a tracking algorithm module and a data processing module; the array antenna module and the radio frequency module are used for transmitting a plurality of beams in a detection coverage area and receiving returned beams; the model database is used for building a coordinate system at the detection coverage area and numbering each lane so as to determine the coordinate range of each lane on a Y axis; the tracking algorithm module is used for analyzing a plurality of beams returned within one scanning period, is also used for determining a predicted region where a vehicle will appear in a next scanning period, andis further used for analyzing a plurality of beams returned within the next scanning period; and the data processing module is used for integrating the data of the model database and tracking algorithm module and determining whether the speed of the vehicle is smaller than a predetermined value so as to calculate queuing length. With the method and system of the invention adopted, the state of the vehicle can be tracked in real time, the queuing situation of the vehicle can be analyzed in real time, the influence of an environment can be avoided, and a basis can be provided for the control oftraffic signals.

Description

technical field [0001] The invention relates to the field of traffic control, in particular to a microwave-based vehicle queue length detection method and system. Background technique [0002] Transportation is the lifeblood of a city and the most important infrastructure in the city's economy and people's lives. Traffic control is a social public welfare undertaking related to the national economy and the people's livelihood. It is closely related to the production and life of the public. The stable and sustainable development of cities and the improvement of people's living standards play an important role. Over the past 30 years of reform and opening up, with the rapid economic and social development of our country and the gradual expansion of urban population, the number of motor vehicles has shown a trend of rapid growth. The existing road network has been unable to meet the growing traffic demand, resulting in urban traffic accidents A series of problems such as freq...

AI Technical Summary

Problems solved by technology

In the real environment, the lane lines are parallel, but due to the imaging of the camera lens, the imaged lane lines are no longer parallel

In addition, there are many vehicles at traffic intersections, and the lane lines are severely worn and polluted. It is not easy to identify the lanes and divide the detection area.

Moreover, if the image is collected by light, shadows, bad weather, and passing pedestrians, it will cause a large-area occlusion problem in the vehicle image, making it difficult to accurately segment the vehicle in the image, and ultimately reduce the number of vehicles at the intersection. The accuracy of queue length detection cannot provide an accurate basis for intelligent transportation system command

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