Optimization Model and Solution Algorithm for Rural Customized Bus Route Operation under Multiple Constraints

In order to improve the operational efficiency of public transportation systems in rural areas, we investigated demand-responsive customized bus vehicle route optimization problem. First, a two-stage planning model describing problem reservation phase and real-time was constructed with objectives minimizing operating cost operator travel time passenger, passenger window, characteristics, rated capacity running were considered constraints. Second, hybrid algorithm solution combining bat adaptive particle swarm designed obtain more optimal solution. Finally, effectiveness on verified by using actual road network some townships Jing’an County, Jiangxi Province, China, obtained objective function value reduced 5.5%. The results show that this paper can be used provide theoretical references for opening operation schemes areas.