Management and application of intelligent public transportation based on cloud computing technology

With the rapid development of cloud computing, IoT and communication technology, especially the concept of "cloud traffic", the integration of intelligent bus and new technology has entered a new stage. The intelligent transportation system based on information distributed processing storage and vehicle moving animal network will realize real-time, accurate and efficient integrated transportation management in a large scale, which can effectively alleviate traffic congestion, reduce energy consumption and reduce environmental pollution. Based on cloud computing technology, intelligent public transport products and applications will gradually enter the life of the general public, urban traffic will go into the "cloud traffic" era.

The demand of intelligent public transportation management

According to the development target and service object of intelligent traffic construction, intelligent traffic management has the following requirements:

The need to control real-time traffic information

Because of the huge amount of information in urban traffic, an information system covering all urban traffic needs to deal with, store and transmit millions of or even tens of millions of basic traffic data information, the current general information system software and hardware processing speed and management efficiency are difficult to meet this demand, considering the cost of construction factors, Developing real-time traffic information systems is a huge challenge for all traffic management departments. Through new technologies such as cloud computing method, all the information acquisition units are transformed into information sending, processing and transmission integration units, and the application of cloud computing technology to change the expensive central computer into distributed computing system will provide feasibility for the construction of such systems.

Requirements for implementing traffic management measures

The policy measures of the Traffic Management department involve the collection of the existing traffic information and the mining analysis of the information, such as obtaining the traffic flow information and congestion of the road network through the detection way, according to the analysis of traffic flow information, through the traffic guidance facilities to guide the existing travel demand, and balance the network traffic The traffic control system analyzes the flow rate and share of each inlet of the road network through the detectors distributed in the city, and makes the plan of the regional traffic allocation. These applications involve a large number of traffic data processing analysis and timely release, cloud computing system of high-speed processing advantages in the development of traffic management measures can be well applied.

The demand of predicting the traffic movement

To make an effective traffic management plan, we should forecast the traffic development in a certain time according to the existing traffic operation. Traffic forecast calculation of large amount of data, real-time processing of information requirements, at the same time in different periods of demand for the calculation of large differences, such as procurement of general servers and minicomputer difficult to achieve the regional network dynamic traffic data processing, and poor economic. Cloud computing method According to the calculation demand, real-time call different number of calculation units for efficient calculation, the traffic dynamic prediction is an effective way.

Good scalability Requirements

With the rapid development of intelligent traffic management system, all kinds of subsystems are usually developed according to the management and service demand, taking into account all kinds of resources, software and hardware sharing calls in intelligent traffic management system, the system needs to have good expansibility, improve resource utilization and save development cost. Through the comprehensive integration and sharing of information resources in the transportation industry, the intelligent traffic management system can operate efficiently and ensure the information processing, decision analysis and information service of the intelligent traffic related subsystem based on the comprehensive, accurate and timely resources.

Therefore, cloud computing technology has a large number of types of traffic information processing, many users of real-time information services, dynamic load balancing capabilities, good scalability and software redundancy mechanism, all make cloud computing and intelligent Bus has a natural fit.