Urban Rail Transit Train Operation Plan And Train Diagram Optimization

In recent years,China sees fast growth in urban rail transit.The urban rail transit network has been further improving,and the passenger traffic continuously increasing.In the meantime,with progressive improvement of the standard of living passengers put higher demands on travel service quality.In order to seize the development opportunities of urban rail transit and cope with the challenges of operation organization that are continually increasing,urban rail transit operators need to constantly optimize transportation efficiency to remain competitive and influencial in public transportation.The train diagram is the basis of the transportation organization,which determines the transportation efficiency and service quality.The optimization problem of the train diagram has always been a research hotspot at home and abroad.As the leading process of the train diagram,the train operation plan is the key to the success of the train diagram optimization.Taking urban rail transit as the research object,this paper depeeply studies the train operation plan and train diagram optimization.The research content mainly includes the following aspects.(1)Based on the operating income of the transportation enterprise and the travel revenue of passengers,the multi-objective optimization mathematical model of the urban rail transit train operation plan is established under the seven constraints including transport passenger flow constraints and interval passing capacity constraints.Meanwhile,according to the actual operation situation,the operating condition assumptions were made,and the model was adjusted accordingly.(2)Taking the transportation enterprise and passenger revenue as the optimization goal,combining the actual operation constraints and integrating the optimization result of the train operation plan as the new constraint condition,the multi-objective optimization model of the train diagram based on the train operation plan is established.In the calculation process of the objective function,the passenger riding model is established acrossing the analysis of the passenger's riding behavior,and the passenger flow allocation operation of the planned train in the train diagram is completed according to the model,and then the relevant evaluation index is calculated.(3)For the train operation plan and train diagram optimization model,the genetic simulated annealing algorithm is used to solve the model.According to the optimization model,the train codec operation and genetic annealing operation of the train operation plan and train diagram were respectively designed.According to the characteristics of the algorithm and the model,the chromosome constraint correction steps are designed respectively to ensure the adaptability of the algorithm and the model.At the same time,the order of chromosome constraint correction is analyzed,and the overall correction steps are designed to ensure the high efficiency of the algorithm.(4)Models and algorithms are tested based on actual line conditions and passenger flow data.The calculation results show that the model and algorithm designed in this paper can achieve better results:in the train operation plan and train diagram optimization.Among them,compared with the scenario of the single train routing plan,the three types of train routing plan are used,and the total mileage of the train is reduced by 18.18%.The no-load rate dropped by 35.46%,the passenger travel time decreased by 25.41%,and the total conversion cost decreased by 25.09%.Figure 33,table 19,reference 62.