Multi-objective optimization of single-line bus combinational scheduling considering passenger choice

To improve the operating efficiency of the bus transport system and service level to the public, the scheduling optimization of single-line bus route for express bus and shuttle bus was carried out during the rush hours. Based on the relevant basic assumptions, this paper established the parking judgment model and passenger ride selection model of express bus and shuttle bus. Meanwhile, taking passenger ride experience and bus company operating cost as the objective function, genetic algorithm was used to optimize the bus departure interval. In the optimization process, two schemes including discrete scheme and continuous scheme were provided. The models and optimization methods were applied to an actual single-line bus route. The results show that, the discrete scheme has faster convergence speed and better optimization effect. The value of objective function decreases by 12.38%. Although the bus operation cost has increased slightly, considering the public commonweal of the bus transport system, the optimization results are still in line with the essence of its operation. The models and its optimization methods can provide a reference for the scheduling optimization of single-line bus route with the introduction of express bus and shuttle bus.