Using large data to control "the most month" in Beijing

According to estimates, Beijing September will have 9 key congestion day, called "the most month." The Local has formally implemented the relevant special action plan, stipulated in the key congested working day and the late peak rainfall and other special weather, the enterprises and institutions can implement the flexible http://www.aliyun.com/zixun/aggregation/7129.html "> Working time."

The highlight of the relevant news, not yet Beijing will be in the special period of time to implement flexible working hours, but the future traffic conditions for scientific and accurate prediction, and timely introduction of countermeasures. This proposed a new idea and a new mode to alleviate the traffic congestion in the city. This also provides an important reference for using large data science to manage congestion.

Why does Beijing come to the conclusion that September will be "the most month"? This is mainly based on local traffic characteristics and data analysis over the years. With scientific pre-judgment, the local natural can come up with relatively reasonable congestion plan. This kind of traffic management means, already had the ability of large data technology to use initially. What is large data, many people have been familiar with. However, some people may not understand the application prospect of large data technology. It can be said that in the traffic management, the use of large data technology will play a crucial role in the future.

According to the data, Beijing is listed as the most painful city in the world with nearly 99 points. But the fact is, in the world's major cities, Beijing's per capita car ownership and absolute number are not the highest. This means that the current traffic overload in Beijing is closely related to unreasonable road traffic planning and management. Therefore, the improvement of traffic planning and governance level is a necessary means for Beijing to alleviate traffic congestion under existing resources. and the relevant departments use large data technology, the mass information analysis and processing, for road science planning, timely warning and evacuation traffic pressure to provide a reference.

In a recent symposium, Shanghai Municipal Commission director Li Yao-wan said the emergence of large data is expected to solve the urban congestion problem. For example, a city that fully links cars, cars, cars and roads to a bit can theoretically improve the capacity of the city's roads by 270%. This also shows that the use of large data needs to be supported by technology, so as to effectively collect and process data. such as Shanghai is currently carrying out the infrastructure construction of intelligent transportation system, once completed, can be guided by the road traffic guidance system to guide the vehicle selection path.

Large data technology has unlimited potential for managing urban traffic congestion. Large data technology can play an active role in providing decision basis for road traffic planning management, improving optimization of travel structure and providing real-time traffic guidance for individuals. In this regard, Beijing for the "most months" of the traffic plan, but also only to touch on the primary level of data use, how to dig deeper into the potential of large data, still need to increase infrastructure investment, as soon as possible to build a large data age to adapt to the road traffic network.