Can large data methods really solve traffic jams?

51, Beijing-Tibet high-speed 55 kilometers of traffic jams once again shocked the world, China's traffic congestion problem has been unprecedented attention. Is there really no way to solve this congestion?

Large data became 3721.html ">2014 years of hot words, and the internet is highly developed accompanied by a large data method is known as a panacea for all problems, so that all walks of life are closely followed by a wide range of data, traffic is one example.

To be sure, the application of large data is a very good tool for traffic management, and it will improve the efficiency and ability of management, but the big data method is the only one, and most of the transparent data applications used in the public will only become toys.

At present, the application of large data in traffic is mainly in the following ways:

1, the Public transport Department issued a large number of card use, so accumulated a large number of passengers travel data, which is also a big data, thus, the public transport departments will calculate the time, section, the crowd traffic parameters, or even create a public transport model, targeted measures to take forward the preparation of various circumstances of the response plan , scientific allocation of capacity.

2, Traffic Management department in the road embedded or preset networking sensors, real-time collection of vehicle traffic, passenger flow information, combined with various road monitoring facilities and traffic police command and control system data, thus forming intelligent traffic management system, conducive to traffic management departments to improve road management capacity, the establishment of evacuation and control measures plan, Early warning and diversion of traffic.

3, through the satellite map data on urban Road traffic situation analysis, get real-time data of road traffic, these data can be used by traffic management department, can also be published in a variety of digital terminals for travelers reference, to determine their own route and road planning.

4, taxis are the most users of urban roads, through its vehicle terminal or data acquisition system to provide real-time data, at any time to understand the traffic conditions of almost all major roads, and the long-term accumulation of such data on the formation of urban areas of the traffic "hot", and then can analyze what time period of the area congestion serious, Provide reference for travel.

5, the smartphone has been very popular, most smartphones use map applications, so always turn on the GPS or Beidou positioning system, map providers will collect these data for large data analysis, which can be analyzed in real-time traffic congestion status, the trend of travel flow or specific areas of the people gathered degree, These data will provide a reference for travel.

Media reports, for example, the expert rational analysis tells us: a city, if the car and car, car and road fully linked to the position, theoretically, can improve the city's road capacity of 270%.

These are the big data in the traffic management application, will help to enhance the transparency of road traffic information, but also to ease the traffic users help, but if the big data can solve the traffic congestion problem, that is irrelevant.

Traffic congestion is the core of the capacity and access requirements do not match, may be the normal road resources are not enough, but also may be the instantaneous flow of traffic caused by the uncoordinated, but in general, most of the urban or suburban road congestion can not be through large data traffic information publicly to ease.

This time, Beijing will use the scope of the city to expand the certificate, the validity of the capital is shortened, resulting in the intersection of the capital to deal with the state of the queue, according to a lot of drivers, under normal circumstances, to deal with a certificate of the capital need 2-3 hours, that is, if from Tianjin to Beijing driving It takes only one hours to get to the capital, and 3 hours for the registration. However, we all know that the queue for the registration of the capital is not fixed, but also the driver encountered half an hour after the accident. Many drivers are predicting what time will be handled less people, the driver chose to do at 1 in the middle of the night, the results queued for 3.5 hours, because there are too many people with whom he has a common idea, resulting in congestion.

Other traffic areas, too, the traffic information of large data will bring transparency of traffic flow, and the same choice will lead to the next traffic congestion, the attractions of the heat is only representative now, if we all get the same information, the result will soon become hot spot cold. Of course, the hotel may be an exception, if you posted a hotel in a number of queues, it is likely to result in the hotel queue number more.

It is said that the travel of a single individual is random and uncontrollable, and once every traffic participant is "connected" in a way to form a large group of people who can share traffic information in real time, the group has some kind of "intelligence" that, by interacting with each other, achieves self tuning and self optimization, And the results will certainly move towards easing congestion. Indeed, in the modern mobile internet state, each end user is both the Traffic information generator and the traffic information provider, thus connecting and interacting with the Internet, but this kind of traffic intelligence does not play much role in easing traffic congestion.

The application of large data in transportation is not to turn large traffic data into "public knowledge", and the traffic information of public knowledge state can lead to chaos of travel game, which will not help to alleviate traffic situation. Large data is useful for traffic management, but such large data is applied in small-scale management centers, and once turned into a universal share, it becomes a travel game.

(Responsible editor: Meng)