The northwest region of China is severely cold. The ice and snow conditions have a great impact on the traffic operation efficiency, which will change the road friction coefficient, vehicle performance and signal control timing parameters. This leads to increased delays at intersections and reduced traffic capacity, and normal weather signal control timing is no longer applicable under icy and snowy road conditions. Therefore, people propose a multi-objective optimization scheme of information control timing, which comprehensively considers factors such as delay, passing capacity, and parking frequency to establish a model, and use genetic algorithm to solve it. The data analysis is carried out by taking the typical intersection in Urumqi as an example. The survey results show that the timing optimization technology using multi-objective information can solve the problem of congestion at the intersection of ice and snow roads, and has a better traffic signal regulation effect.
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