Traffic light time length dynamic control method and system based on sliding average traffic volume

Abstract

The invention belongs to the field of intelligent traffic control, and discloses a traffic light time length dynamic control method and system based on sliding average traffic volume. The traffic light time length dynamic control method based on sliding average traffic volume comprises the following contents: in the initial state, T<H>=T<V>, T<HG>=T<VG>, T<HR>=T<VR>, and the north-south directionand the east-west direction are given the same passing time; if two conditions are satisfied, traffic light time length adjustment is triggered, and if the conditions are still satisfied after adjustment, adjustment continues to be made according to the rules; when the traffic light time length in the vertical direction is less than or equal to d / 2.4Vmax, adjustment is stopped; and if the trafficvolume in the current direction decreases and is less than that in the other direction, reverse adjustment is made. By using the traffic light time length dynamic control method and system based on sliding average traffic volume provided by the invention, traffic light control is very flexible, the traffic capacity is improved, and congestion is relieved.

Description

technical field [0001] The invention belongs to the technical field of traffic intelligent control, in particular to a method and system for dynamically controlling traffic light duration based on sliding average traffic flow. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: [0003] The intersections with relatively large traffic flow in big cities in my country are basically fixed-period signal control methods, and fixed green, yellow, and red light times are set at each intersection. The time of these traffic lights is a fixed time determined according to the statistical results of historical traffic flow. [0004] As more and more people choose to travel by car, the traffic flow situation becomes more and more complicated, and the traffic flow at the same intersection varies greatly in different periods of time. Therefore, the use of fixed traffic light time obviously cannot meet the needs of complex and ...

AI Technical Summary

Problems solved by technology

This kind of scheme is obviously not conducive to improving road utilization and vehicle traffic efficiency.

[0018] 2 The traffic light duration can only be adjusted according to pre-set rules, for example: increase the green light time in one direction during the morning rush hour, and simultaneously reduce the green light time in the other direction

Although the above method can partially improve the vehicle traffic capacity, it cannot be adjusted according to real-time road conditions, such as: the temporary increase in traffic flow caused by special events such as exhibitions

[0019] 3 There are also some dynamic traffic light duration adjustment methods, but it cannot realize the linkage of traffic and green control at multiple intersections around, and it is very easy for vehicles to pass through this intersection quickly, but form congestion at the next intersection

[0020] 4 Finally, there are some traffic light dynamic control methods through traffic flow sensing, which mainly focus on how to accurately detect traffic flow, such as: using audio for traffic flow detection, using image recognition technology to realize lane-divided traffic flow detection, and using vehicle-mounted The radio frequency identification module and the roadside radio frequency identification module are used for traffic flow detection, etc., but the time length control of traffic lights is still simple and linear with the increase or decrease of traffic flow, which is difficult to adapt to complex and changeable road traffic conditions

Images