| The high-speed rail transportation industry continues to develop,and the railway network is becoming more,thus the pressure on railway transportation management is increasing.The crew scheduling plan is the basis for organizing and managing the crew.The quality of the crew scheduling plan is not only related to the normal operation of the train,but also to the efficiency of the crew and the operating cost of the enterprise.Therefore,it is of great market value and significance to create a scientific,efficient and low-cost intelligent crew scheduling system.However,the existing crew attendant scheduling plan is mainly manual preparation by experienced planners to form a long-term effective crew plan.The preparation process requires a lot of labor costs and the plan cannot be adjusted quickly and intelligently in the face of emergencies.In order to solve the above problems,this thesis proposes to design a smart train crew scheduling system based on React framework and genetic algorithm model.This system is based on the smart station project,and on the basis of understanding the current status of domestic and foreign crew attendant scheduling systems,a crew attendant scheduling plan preparation system is designed.This system decomposes the scheduling process and establishes corresponding mathematics for each step of the decomposition Model,and designed a solution algorithm for each model.The thesis is mainly as follows:(1)Through the analysis of the main influencing factors of crew scheduling planning,the process of system scheduling scheduling is divided into three steps,and the demand analysis is conducted for the three key steps.After detailed analysis of the task requirements of several functional modules,such as division of passenger segments,combination the crew road,and optimization the sequence of crew road and crew scheduling,the individualized goals of each functional module of the system are proposed.(2)Specific design of each functional module of the system,and mathematical modeling of the system planning module and design of corresponding algorithm.In the passenger traffic combination module,the first-come-first-going mathematical model is designed for combining optimal crew road,and then designed exact algorithm to solve it.(3)In the optimization the sequence of crew road and crew scheduling module,the optimal train crew loop circulation problem is converted into a TSP,a target optimization model with the shortest circuit indirect duration is established,and the genetic algorithm is used to find the optimal solution.Finally,the loop cycle sequence with the smallest number of flight attendants and the most balanced value multiplication time among the flight crews is realized.(4)Carry out detailed engineering design for basic modules such as user login module and authority management module of the system,so as to improve the practicability and safety of the system on the basis of meeting the system requirements.Using React framework,node.js,Oracle database and other technologies to realize the system,the requirements of this system are fully realized in function.The smart station crew scheduling system implemented in this thesis can quickly collect data on train operation information,and manage personnel information and train operation information,and then automatically generate a crew scheduling plan.The system can improve the management efficiency of the crew and reduce the operating costs of enterprises. |
