Automatic discrimination method of urban ground road traffic status based on stop line detector

Abstract

The invention provides a method for automatically discriminating traffic states of city surface roads based on a stop line detector. The method is characterized by comprising the following steps: periodically acquiring the flow rate and the occupation ratio of each lane at each intersection in a traffic network of city surface roads; calculating data such as the occupation ratio of a green light at an initial stage, the occupation ratio of the green light at a medium stage, the occupation ratio of the green light at a last stage and the like of each lane in the existing period; and judging whether the traffic state of the current lane is smooth, crowded or blocked in the current period. The method provided by the invention can be used for solving the problem of automatically discriminating the traffic states of entrance roads at the intersection controlled by signals in real time, improving the discrimination accuracy of the traffic states of the city surface roads, providing real-time and accurate dynamic traffic information of city surface roads for traffic administrators and travelers, and in particular providing technical guarantees for the traffic administrators to make accurate and efficient traffic management strategies and schemes.

Description

technical field [0001] The invention relates to a method for judging traffic status of ground roads based on a stop line detector, in particular to a method for judging traffic status of urban ground roads using a stop line detector real-time detection data and an intersection signal control scheme, belonging to the technical field of intelligent transportation . Background technique [0002] At present, most signal-controlled intersections in cities in my country are equipped with stop line detectors to provide data support for the formulation of signal timing schemes for traffic lights 3 at intersections, such as figure 1 As shown, the stop line detector 1 (usually a detection coil) is generally placed 5 meters before the stop line 2 . The traffic flow parameters acquired by the stop line detector 1 include flow rate, occupancy rate and speed. Because the change of traffic flow state can be expressed by traffic flow parameters, many traffic engineering workers have estab...

AI Technical Summary

Problems solved by technology

For a specific set of traffic data, the reflected traffic state is determined by comparing the output results of the algorithm with the decision threshold. This algorithm requires a large amount of real data to train the algorithm, and the calibration process is complicated and the application range is small.

Images