Abstract:In order to scientifically optimize departure timetable of inter-city road coaches, taking the variation of the amount of arrival passengers in the day as the reference, so as to reasonably determine the departure time. Firstly, the influencing factors of departure timetable optimization are analyzed. Then, on the basis of comprehensively estimating the passenger’s cost and road passenger transport enterprises’ operation cost, a scheduling model is established with the objects of minimizing passenger travel cost and enterprises’ operation cost. Finally, a genetic algorithm based on the binary structure is designed, and the detailed solution process is given. Taking the road passenger flow data of Wanzhou District to Kaizhou District as a case study to verity rationality of the model. The practical example shows that, compared to the rolling departure schedule, the optimization scheme of this model can effectively reduce the average waiting time of passengers by adding a small number of coaches, and the convergence rate of algorithm is high, which can provide instructions for inter-city road passenger transport enterprises.