Research And Application Of Responsive Public Transportation Based On Commuter User’s Demand

"Priority development of public transportation" is a long-term strategy of urban development in China.In recent years,people’s travel has put forward high requirements for comfort and punctuality,but the regular bus has been unable to meet them.A new mode of public transportation,Demand Response Bus(DRT),emerges at the right moment.The characteristics of DRT and route planning need to be further studied.The present situation and intention of Shijiazhuang residents’ travel were investigated,and the travel demand and intention of commuters on DRT were analyzed,and the feasibility study of DRT operation was carried out.Based on the analysis of the characteristics of DRT operation mode,a DRT operation mode for commuters is proposed,and a DRT route planning model with the lowest cost of bus enterprises and the highest satisfaction of passengers as the objective function and the passenger demand,vehicle demand and time window as the constraint conditions is establishedGenetic algorithm(GA)and particle swarm optimization(PSO)are compared and selected.The PSO with simple operation,fast iteration speed and more accurate results are selected.The solution process of DRT model with or without time window is analyzed.Taking commuters in high-density residential and commercial districts in Shijiazhuang as research objects,DRT path planning models with and without time Windows were constructed respectively.Based on the booking information submitted by passengers,the model was solved,and the optimal DRT travel route with the lowest total cost,the arrival time of the line and the total travel cost of the commuter were obtained.