Signal Timing Optimization at Intersections Based on NSGA-II

This study combines the methods of data analysis and mathematical modeling to explore an effective solution about traffic flow control in well-known scenic towns. Firstly, the missing and abnormal data of license plate number are eliminated through the open source dataset. Then, through hierarchical clustering analysis to divide the peak traffic flow hours, statistical traffic flow hour data, and using NSGA-II algorithm to optimize the signal timing, and establish a service level model to analyze the results, and it is found that it can effectively improve the traffic efficiency and alleviate traffic congestion. The case used in this paper is the 2024 National Student Mathematical Modeling Competition E question - traffic flow control of the topic for research and analysis, the results obtained and the actual review of the results of the information very much in line with the results.