An intelligent bus dispatch system based on fuzzy genetic algorithms

Under the background of intelligent public transport, the paper proposes an intelligent bus dispatch system, which consists of two parts. In the first part, we use the real-time feedback site traffic and the historical passenger flow data as the inputs of the least squares support vector machines to forecast the short-term traffic. For another part, we improve the genetic algorithm through fuzzy control, to compute the most optimal dynamic departure intervals, which consider passenger waiting time and vehicle load factors at the same time.