Multi-partition Response And Multi-objective Coordination Of Public Transportation Routes And Dispatch

With the acceleration of urbanization and the rapid growth of urban population,the number of motor vehicles has increased rapidly,and the traffic volume of the road network has exceeded the carrying capacity of urban transportation infrastructure,and the problems of traffic congestion and road jams have become increasingly prominent.Conventional public transportation plays an obvious role in the central urban area where the passenger flow is concentrated,providing a comfortable travel mode for areas with high demand density.However,low-coverage public transportation cannot meet all travel needs.In order to more reasonably solve the problem of public transportation for residents in new suburban areas,foreign scholars have proposed a responsive feeder transit(RFT)rail transit connection mode.However,most of the current research focuses on the optimization of routes or dispatching in smaller service areas,and rarely considers the coordinated operation of multiple districts in larger service areas.Therefore,this paper focuses on the coordination and optimization of bus connections under multiple districts.First,this article analyzes the operational characteristics and structure of the responsive bus connection,summarizes several operating modes of the responsive bus connection,introduces the "clustering effect" theory to determine the radius of the service area,analyzes the divisional operation and coordinated operation of the larger service area The necessity.Secondly,after the larger service area is partitioned,there are often passenger demand points on the partition boundary.This paper considers both passenger satisfaction and operator profit,and builds a multi-objective coordination optimization model to allocate reservation requirements on the boundary.In the optimization model,the constraints considered include vehicle capacity constraints,maximum travel time constraints,maximum operating vehicle constraints,and passenger time windows.Then,the multi-objective coordination optimization model is solved based on the fast-dominant sorting multi-objective algorithm.Finally,on the basis of zoning coordination,considering the impact of time-varying road networks,dynamic coordination and optimization under the simultaneous pickup mode are carried out.Introduced the "first in,first out" principle,designed a method for calculating the travel time of the road section across time periods,and took into account the interests of operators and passengers to establish a multi-objective coordination optimization model of vehicle routing and departure time in the simultaneous pickup mode.According to the characteristics of the model,a multi-objective genetic algorithm is designed.The calculation example shows that:compared with the route optimization under the fixed departure time,a reasonable departure time has a greater impact on passenger satisfaction and also contributes to the saving of operating costs;in the comparative analysis of coordination allocation,it shows that under the same satisfaction degree,coordination The profit distributed is higher than the fixed distribution.In terms of vehicle capacity impact analysis,it shows that the number of demand in the service area affects the optimal vehicle capacity;in terms of comparison analysis between simultaneous pick-up and single pick-up and delivery,it shows that passenger satisfaction increases to a certain value regardless of simultaneous pick-up and delivery The profit of the system is increasingly affected by the constraints of the passenger time window.The research in this article provides effective solutions for residents’ travel in larger service areas,provides theoretical and methodological support for the planning and dispatch of responsive bus connections,and at the same time promotes and guides the promotion and implementation of responsive bus connections.