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.