Research On Multi-type Vehicle And Variable Stop Demand Responsive Transit Vehicle Scheduling Model

As an important mode of transportation,public transportation is an important support to promote the benign development of urban traffic.With the development of society and the progress of science and technology,demand responsive transit emerges at the historic moment.As a new urban bus operation mode,demand responsive transit needs a series of theoretical and application innovations.Based on the above background,this thesis studies the vehicle scheduling theory of the variable station demand responsive transit.Firstly,based on the summary of the existing demand responsive transit operation mode,this thesis puts forward a variable station demand responsive transit operation mode,and analyzes the work flow of the operation mode,the construction of the scheduling model and the key problems involved in solving the algorithm.Secondly,this thesis studies the static scheduling problem of multi-vehicle type variable station demand responsive transit for passengers’ advance booking demand.Taking into account the interests of passengers,enterprises and society,a scheduling model is established with the goal of minimizing vehicle start-up cost,vehicle operating cost and carbon emission cost,and an improved genetic algorithm is designed to solve the model with multiple intersections within individuals,and taking the local road network of a city as an example,the model effect was verified.The results show that the multi-vehicle scheduling method proposed in this thesis can effectively reduce the time of passengers on the bus compared with the single-vehicle scheduling method.Compared with the variable stop demand response mode,the variable stop demand response mode can reduce the operating cost of the system and improve the load rate.Finally,on the basis of generating the initial route in the static scheduling stage,the thesis also studies the dynamic scheduling model in response to the real-time travel demand of passengers.In this stage,the model is constructed with the goal of minimizing the vehicle operation cost and the penalty cost of violating the time window and rejecting passengers.The accurate algorithm for solving the model is designed according to the characteristics of the dynamic scheduling model.After that,a case analysis is carried out,and the results show that compared with static scheduling,dynamic scheduling can effectively improve the vehicle load rate,which verifies the effectiveness of the model and solving algorithm.The multi-vehicle type variable station demand responsive transit scheduling model proposed in this thesis can meet the travel needs of multiple types of passengers,and the research results can provide theoretical support for the promotion of the new model of demand responsive transit.