The optimization of bus scheduling based on genetic algorithm

With the further development of intelligent transportation systems and artificial intelligence techniques, the related bus scheduling method also in-depth study. In order to obtain a better plan of public transit in a bus line, we make a multi-object genetic algorithm optimizing model, including the passengers and bus companies, according to the given preconditions and passenger data. Using the genetic algorithm´s global optimization search to deal with the operate buses on one bus line, obtaining the optimal solution of bus departure interval.