| With the country’s continuous reform of public vehicles,the difficulty of managing vehicles is also increasing.Traditional official vehicles management methods are difficult to adapt to the new requirements of reform.At present,the management of official vehicles has many problems such as high operating costs,low vehicle utilization,and poor experience in applying for vehicles.This requires the informatization and intelligentization of the management of official vehicles to solve them.Therefore,it is extremely important to build an informatized official vehicles management platform.Regarding the official vehicles management system,this dissertation uses UML graphics and demand analysis tables to analyze its business,and divides the system into vehicle information module,application vehicle module,vehicle scheduling module,execution task module and vehicle positioning data module.Subsequently,Spring,SpringBoot,and MyBatis technologies are used to build the system framework,and the RBAC model,PageHelper technology,Transaction technology and version optimistic lock technology are used to complete the development of functional modules,and the high-performance communication framework Netty is used for the vehicle’s Beidou terminal equipment to complete real-time upload of driving positioning data.Aiming at the vehicle scheduling problem,this dissertation establishes a vehicle scheduling mathematical model with the goal of minimizing the total transportation cost and the constraints of time windows and maximum carrying capacity,and uses the genetic algorithm to solve the problem.In order to prevent the algorithm from falling into the local optimum in advance,the quantum genetic algorithm is used for optimization,and the calculation example is combined with the genetic algorithm for comparative analysis.Finally,the algorithm is applied to the vehicle scheduling module to make reasonable scheduling of vehicle dispatch tasks.In order to ensure that each driver is reasonably recommended and assigned tasks,this dissertation weights and ranks the driver attributes based on the multi-attribute decision-making model,and assigns the top drivers.Through the design and implementation of the official vehicles management system,the travel cost of vehicles is reduced,and a certain reference value is provided for the research of other public management systems. |
