In the past two years, China's intelligent transportation has been a relatively rapid development. 2012, the Ministry of Transport of China issued the "Transport industry Intelligent Transport Development Strategy (2012-2020)," proposed to achieve the expressway, the state-level highway, important road sections, large bridges, vehicle areas and traffic conditions, such as the perception and monitoring. The pedestrian can at any time, any place through its familiar way to obtain the travel plan and the real-time travel information, enhances the public transportation the attraction and the sharing power, alleviates the city congestion, makes the travel more convenient. To achieve the full monitoring of dangerous goods transportation vehicles, ships, long-distance passenger transport, urban public transport, taxis and rail transit, we have basically built a comprehensive coverage, all-weather operation, rapid response water traffic safety supervision system and maritime information Service system. It can be seen that the strategy for the future development of intelligent traffic in China pointed out the direction. Based on the above requirements and objectives security enterprise is how to see it? For this we interviewed the Huangjianqiang and Mr. Huang.
The impact of large data and cloud computing on intelligent transportation
In the interview, Yu-vision technology Huangjianqiang said: "Cloud computing as a new concept of information service model, with its automated It resource scheduling, high information deployment and excellent scalability, to solve the intelligent traffic is currently facing the key technical means." "Cloud is the key technical means of the development of intelligent transportation is also determined by the characteristics and demand of intelligent traffic."
Intelligent transportation has the following characteristics and requirements:
1. Massive Data information
The analysis object of intelligent traffic is the main body of traffic behavior of the whole city, which leads to the inherent characteristic of its massive data. In Beijing, for example, 60,000 vehicles taxis produce hundreds of millions of GPS data a day, and license plate recognition, traffic surveillance video and other data volume, traffic-related data level has jumped from TB level to PB level, if you want to achieve urban road traffic conditions, traffic flow information, traffic violations and other comprehensive monitoring, In particular, the work of collecting, processing and analyzing a large amount of real-time monitoring data in the rush hour will be very huge, and the traditional method of traffic data analysis is very difficult to support the development and utilization of such a large data body effectively. "The interview of Huang Technology, said.
2. Heavy application Load fluctuation
The characteristics of traffic flow characteristics, which vary with time and have strong regional correlation, need to be collected, processed and analyzed in time according to real-time traffic flow data. Because the traditional intelligent traffic plan cannot achieve overall co-ordination, it often falls into the position of being in the same place.
3, high requirements of real-time processing performance information
With the congestion of urban traffic, many pedestrians require to be able to obtain the necessary travel plan and real-time travel information at any time, any place through their familiar way. This requires that the future intelligent transportation needs to meet the requirements of high efficiency and real-time.
4. Data sharing requirements
The comprehensive integration and sharing of information resources in the transportation industry is the foundation of intelligent transportation to exert the overall plan advantage, unify the coordination and overall coordinate the resources. In the current building of the intelligent city, a large number of terminals from different vendors and different platforms, the formation of large and small information islands, it is difficult to achieve data sharing.
5, high availability and high stability requirements
For the Government, society and the public to provide transport services to provide safe, smooth, high-quality travel services to ensure high security, high efficiency and high accuracy of transportation, will require the system to have high availability and high stability. and the current scheme, because of many types of equipment, manufacturers complex, quality and standards are uneven, not only the maintenance cost is huge, and it is difficult to achieve high stability.
Because of the above practical demand, cloud computing and large data technology become the important support of intelligent transportation system.
Cloud computing and Intelligent transportation
Cloud computing can integrate resources, for the intelligent transportation industry to meet the future development of transport industries, expanding the needs of the integration of its future hardware, software, data. So, what is the role of cloud computing for intelligent transportation in particular?
Interview in Yu-Huang technology, said: "Cloud computing can dynamically meet the needs of various applications in the overall scheme, such as infrastructure construction, traffic information release, value-added services for traffic enterprises, decision support and traffic simulation, etc., to fully meet the needs of development system resource Platform, Also can quickly meet the needs of the burst system. "This shows that cloud computing is the future of intelligent transport development direction."
The ability of data analysis affects the development of intelligent traffic construction
At present, China's intelligent traffic in the rapid development, problems and difficulties are also very prominent, from the development of each city, the potential value of intelligent transportation has not been effectively excavated: the traffic information and the perception and collection is limited, the existence of the various management systems in the vast number of data can not be shared use, effective analysis, The forecast of traffic situation is weak, and the traffic information service to the public is difficult to meet the demand. In addition to the differences in traffic construction ideas and inputs, the present situation of intelligent transportation in the whole is not efficient enough, the degree of intelligence is not enough, so many advanced technology equipment can not play its due role, also caused the waste of investment funds. One of the most important problems in the data age is the mishap: the management ideas and technical equipments from the simulation times can only be analyzed in a certain scope, and the relational database of the management system can only rigidly analyze the specific relationship, which is powerless to the massive data, especially the semi-structured and unstructured data. The ability of data analysis greatly affects the development of intelligent traffic construction.
Conclusion
Using the most advanced cloud computing and large data technology to solve the problem of human intelligent transportation development, in addition to the positive government policy, but also the need for various security manufacturers of continuous technological innovation and product innovations.
(Responsible editor: Mengyishan)