The artificial intelligence needs of traffic lights

Traffic lights are becoming more and more important in today's traffic. If pedestrian vehicles follow the traffic light rules, traffic accidents at intersections will be greatly reduced. However, while ensuring safety, efficiency is not well satisfied. The set time of traffic lights in different directions is different, but this time is fixed. During the installation of the traffic lights, the on-site personnel should have made statistics based on the direction of traffic flow in the direction of the fork, and then set the time. This method just meets the needs of directing traffic within a certain period of time, but it is not very suitable when there are fewer people and fewer people at night. Unreasonable traffic command not only means inefficiency, but also may increase risk. Excessively long waiting times for red lights often cause pedestrians and drivers to be more inclined to risk gaining time. Rather than saying that pedestrians do not follow the rules, I think they are not reasonable. I think the specific amendments have the following points.

1. According to the information of the traffic flow and the flow of people at different intersections at different time intervals, formulate different traffic waiting times. For the direction of strong traffic demand, increase the duration appropriately, and vice versa. Judgment of prosperity can be based on the statistics of traffic flow and pedestrian flow in the direction of the intersection. The more vehicles that pass in a unit time, the greater the demand in this direction. The appropriately increased scale needs to be determined according to the weights in all directions. Of course, the premise of this opinion is to formulate the current strategy based on the previous data statistics. The default rule is that the daily traffic conditions are almost the same. Of course, the above model can also be modified in real time by modifying the model. The improvement of data collection technology and the popularization of intelligent hardware make the technology no problem. The key is whether the model can accurately describe the laws of predicting traffic flow at intersections. So does this rule exist? As Marxist scholars, we should firmly believe that everything has its essential laws, but we have not yet discovered it.

2. Specify the real-time traffic light waiting system according to the road conditions. Through the powerful monitoring capabilities near the intersection, real-time monitoring of the time of arrival and passage of vehicle traffic in each direction. The calculation of this time is based on the current speed and distance. In the future, these data will be transferred to the vehicle-mounted system in real time to calculate their own speed. The intersection becomes an object, which provides information on whether to walk or stop for the people and cars that arrive. The ultimate goal is to maximize traffic efficiency and achieve the ideal state with the least waiting time for traffic and pedestrians.

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Origin blog.csdn.net/wangyhwyh753/article/details/89510571