Design And Implementation Of The Cloud Control Platform For Intelligent Public Transportation System Based On MQTT Protocol

In recent years,with the continuous growth of car ownership,the capacity of many urban roads has reached its limitation,and the problems of traffic safety,congestion and environment pollution have become increasingly prominent.In this context,China vigorously advocates the development of public transportation With the rapid development of Internet of Vehicles technology,communication technology,computer aided technology,big data,cloud computing,blockchain and other information technologies,more and more cities have begun to build Intelligent Public Transportation Systems.The construction of intelligent public transportation is conducive to solve above problems and conforms to the concept of smart city and green development.In addition,with the increasing scale of intelligent public transportation construction,a large number of intelligent devices need to be deployed,and the devices and the public transport management center will communicate frequently to ensure the normal operation of functions,which requires the intelligent public transportation management center to have the ability to support high concurrent scenarios and process large-scale data.However,the current intelligent public transportation system is still lacking in this respect.Therefore,considering the above problems,this dissertation designs and implements a cloud control platform for intelligent public transport based on MQTT protocol,hoping to improve the service and management level of public transportation operation enterprises.The main work of this dissertation is as follows:(1)The overall framework of the intelligent public transportation system is designed,the load balance of messages is achieved by deploying intermediate message server clusters,which improves the concurrent access and message throughput.(2)The scheme of data processing and persistent storage is designed,including the design of the content of information interaction among OBU,RSU and the intelligent public transportation cloud control platform based on MQTT protocol,the design of reasonable MQTT topics through the content of data interaction,the further storage of the cleaned and filtered data in the distributed message queue,the persistent storage in the database and other steps,so as to greatly reduce the database storage pressure and provide support for subsequent data processing and analysis.(3)Based on the demand analysis of the cloud control platform of intelligent public transportation,five functional modules are designed and implemented,including platform management,route station management,equipment management,GIS comprehensive display and traffic optimization.(4)The Vue.js and Open Layers frameworks are used to realize the visualization of relevant data,and the specific functions include bus route query,bus stop query,driving track query,vehicle status monitoring,exception reminder,etc.In this dissertation,the function and performance of the designed system are tested.The test results show that all functions can operate normally,the average delay of the platform interface is about 119 ms,the message throughput of the system can reach more than 12000 per second,the CPU occupancy rate is about 5%,and the memory occupancy rate is about 50%.The experimental results show that the system has normal functions and good performance,and can basically meet most of the use scenarios of public transportation operators,such as the increase of system access devices and the realization of real-time location monitoring and other functions with high delay requirements during peak hours.