Coordinated Optimization Of Multiple Transfer Points Responsive Feeder Transit Operation Route Under Mixed Demand

The conventional bus has obvious effectiveness in urban central urban areas where passenger flow is concentrated,but there are problems such as low efficiency in suburban or trunk public transportation stations with low passenger flow density.Therefore,the responsive feeder transit that is more suitable for low-demand density areas has been proposed.At present,the research on responsive feeder transit mainly focuses on the operation route and scheduling optimization of the single transfer point responsive feeder transit system.In fact,operational efficiency and service quality can be improved effectively by the coordinated operation of adjacent multiple transfer points responsive feeder trans.it systems.Therefore,the multi-transfer point responsive feeder transit is taken as the research object for this thesis,the coordinated optimization of operation route of the multiple transit points responsive feeder transit system under the mixed demand(including the reserved demand and the real-time demand)is carried out in this thesis.The reserved passengers are classified according to the requirements of the specific transfer point.The coordinated optimization model of the operation route of the multiple transit points responsive feeder transit wehicle is constructed with all the reserved demand as the research object,and the solving algorithm based on simulated annealing is designed.Then,based on the mixed demand composed of reserved demand and real-time demand,a two-stage coordinated optimization method for the vehicle's operation route of multiple transit points responsive feeder transit system is constructed.In the first stage,with the reserved demand considered,the operation route of the multiple transit points responsive feeder transit is coordinated and optimized;In the second stage,the real-time demand is responded based on the insertion method.And the real-time demands are judged whether they can be responed one by one.What's more,the best insertion position is sought based on the insertion algorithm for the real-time demand that can be responded.If not,it will be converted to the reservation application and be responded to by the next shift.According to the response,the first-stage model could be adopted to re-optimize the operation route of the subsequent shifts.Finally,based on MATLAB,three groups of case study are carried out:1)Comparison of coordination and separate operation for multiple transit points responsive feeder transit when only reserved demand is included;2)After adding the real-time demand,the comparison of coordination and separate operation for multiple transit points responsive feeder transit;3)Comparison between fixed departure interval and variable departure interval.As shown in the test results,under the conditions of reserved or mixed demand,average running distance and average total cost required by the system to respond to each passenger could be reduced significantly by the coordinated optimization method of this thesis.In addition,it can be effectively reduced when the departure interval is adjusted in different time periods.A certain role in promoting the theoretical research and development of responsive feeder transit in China is played by this thesis.Furthermore,there is the reference significance to solve the "last mile" problem of passenger travel in this thesis.