Method and system for controlling a signal light
A control method and control system technology, applied in the direction of traffic signal control, etc., can solve the problems of unreasonable time allocation of traffic lights, etc., achieve the effect of optimizing the control method of signal lights, ensuring traffic demand, and reducing the probability of traffic accidents
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Embodiment 1
[0079] Example 1, such as figure 1 , figure 2 , Figure 20 A control method for a signal light shown includes the following steps:
[0080] Step 1: Collect data to be processed in real time, where the data to be processed includes the number of pedestrians in the queuing area and the collection of vehicles in the VCA area. The collection of vehicles in the VCA area is CC t ={car 1 , car 2 ... car n}.
[0081] The vehicle set in the VCA area includes all vehicles that meet the preset conditions, where the preset conditions are
[0082] l queue +D b eff
[0083] D. cruise >x 0
[0084] l end > x car > l start
[0085] l queue is the length of the queue of vehicles currently waiting for the green light of the vehicle, D b is the target vehicle from normal driving speed to a de deceleration until the distance traveled when stopping, D cruise is the distance traveled by the target vehicle when the red light of the next vehicle is on, x 0 is the distance betwee...
Embodiment 2
[0108] Embodiment 2: Verification of the signal light control method, the verification steps include:
[0109] 1. Scene description and parameter setting
[0110] The verification of the present invention is to compare the control method of the present invention and the two control modes of the timing signal in a simulation experiment on a pedestrian crosswalk. In order to more comprehensively display the signal light control method of the present invention and get close to the real scene, in addition to the horizontal comparison of the effects of the two control modes, a longitudinal analysis of the results of the algorithm under different traffic flow levels is also carried out. Some key parameters in the simulation are shown in Table 1, and the standard deviation of the random distribution of the parameters is in the brackets. In the experiment, it is assumed that the arrival of pedestrians obeys the Poisson distribution, and the arrival rate is λ. The number of people ru...
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