Design And Realization Of Rail Transit Clusters Dispatching System Based On TD-LTE

Rail Transit Clusters Dispatching System(RTCDS),is one of the main systems of Rail Transit Clusters(RTC).It provides a unique channel for the reception and transmission of Automatic Train Supervision(ATS)information and clock information in the RTC,guarantees the real-time scheduling of the scheduling system,and ensures the entire RTC synchronize between the clocks.With the rapid development of rail transit,the mass data volume of rail transit cluster is becoming increasingly large.How to ensure system read and write performance under massive data has become an important issue urgently needed to be solved in the rail transit system.At present,more cities use the Oracle database for their rail transit systems.However,expensive acquisition cost of the database has become an important factor that affects the further development of the rail transit system.This paper uses the free Mysql database and data fragmentation storage through the data sharding middleware.This solution can reduce the operation and maintenance costs of the rail transit cluster system and promote the further development of the rail transit system under the premise of ensuring data read and write performance.In addition,load balancing scheduling is a core function of the RTCDS.Massively real-time,efficient and balanced scheduling of mass tasks plays a crucial role in the reliable operation of the rail transit system.The current load balancing algorithms are divided into static type and dynamic type.The dynamic type algorithm makes reasonable task scheduling based on the real-time load of nodes in the cluster.Due to the historical reasons of the RTCDS,the real-time load of each subsystem can not be obtained.Therefore,the system chooses the heuristic ant colony algorithm,which can be used as the basis of the load degree of each node through pheromone concentration,so as to achieve dynamic load balancing scheduling.Simulation results show that in the field of rail transit,the load balancing scheduling algorithm based on ant colony algorithm has higher task throughput than the genetic algorithm,Min-Min algorithm and Max-Min algorithm.