A Two-Stage Model for Collaborative Optimization of Mixed Bus Departure Intervals and Vehicle Utilization Plans
[Objective]Collaborative optimization of departure intervals and vehicle utilization plans for hybrid buses composed of fuel powered and electric buses,with the goal of minimizing the smoothness of departure in-tervals and overall operating costs.[Method]With multiple constraints being considered,including departure in-terval range,number of vehicles,vehicle connectivity,and electric bus range,an optimization model was estab-lished to improve these aspects.A genetic algorithm was designed to solve the two-stage model,enhancing effi-ciency and accuracy of the solution.[Results]The case study shows that compared with existing operational plans,the optimized model can save the total operating cost of vehicles by up to 13.04%under relatively uni-form departure intervals.[Conclusion]This optimization model could allocate the number of buses used more reasonably with a relatively uniform departure interval,achieved off-peak charging for electric buses and en-hanced vehicle utilization.
mixed bus fleetvehicle utilization planbus schedulinggenetic algorithm
万方数据
维普
