Intersection traffic information perception control system and method

Abstract

The invention discloses an intersection traffic information perception control system and a corresponding method. The system comprises a plurality of intersection sensors which are configured to respectively collect the traffic information of each road connected with an intersection; one or more edge processing modules configured to process the traffic information on each road, obtain vehicle target information and lane information on each road, and calculate vehicle statistical information on each lane of each road; a central processing module configured to calculate lane occupancy information of each lane according to the vehicle statistical information on each lane of each road, and optimizing the timing strategy of each phase of the intersection traffic signal in real time according tothe lane occupancy information; and an intersection traffic signal control system configured to execute intersection traffic signal control according to the optimized timing strategy.

Description

technical field [0001] The invention relates to the field of intelligent transportation, in particular to a traffic information perception control system and method at an intersection. Background technique [0002] With the rapid development of urbanization and the rapid increase of car ownership, the pressure of urban road congestion is increasing. Intersections are places where road congestion frequently occurs. Multi-dimensional perception and intelligent, real-time control of intersection traffic information is the key to improving traffic conditions and improving traffic efficiency. [0003] A single sensor has its own limitations. For example, a single millimeter-wave radar sensor can accurately measure the speed and position of a target, has a long detection distance, and supports all-day and all-weather data acquisition, but cannot acquire target information such as color, license plate, and lane lines. and other environmental information; while a single camera can ...

AI Technical Summary

Problems solved by technology

However, these schemes usually do not consider the traffic flow information of the lanes, especially the traffic flow of each lane is not considered and optimized

In addition, these schemes often only consider the traffic flow information in the direction of the entrance, but not the traffic flow information in the exit direction. When abnormal events or congestion occur in the exit traffic flow during peak hours, it is easy to cause exit overflow or even a deadlock at the intersection.

Since the adaptive intersection control is only based on the traffic flow information in the direction of the entrance, the lane-level overall optimization has not been realized, and the road use efficiency cannot reach the overall optimum.

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