When big data meet with intelligent traffic, its like a dry firewood meeting fire. Let us first look at a more prominent problem: in recent years, traffic control systems are widely used, although traffic violations have been curbed, but the problem of congestion has been unable to solve. In order to alleviate traffic congestion, we need to make use of big traffic data.

1. Data acquisition and storage more accurate resources

Obviously, with the continuous expansion of the scale of ITS construction, the scope, breadth and depth of large traffic data acquisition will become larger and larger. Large traffic data consists of traffic detection data, video surveillance data, system data and service data, and these data are generally obtained through GpS positioning information, video surveillance, road condition information, card port electric police, RFID identification information, control information, operation information and other data.

According to the traffic data monitoring in Shanghai, there are more than 6600 gates in the city, and every day there will be nearly 80 million traffic data, there will be many videos, pictures and traffic records. Then using the secondary recognition technology, the collected vehicle pictures and video can be analyzed to obtain accurate data resources.

2. More intelligent judgment of data analysis and Application

The analysis and application of large data requires the ability to retrieve hundreds of billions of seconds of data, which requires efficient cloud computing. Intelligent analysis algorithm based on depth learning will play a very good role in supporting the analysis of large traffic data, and will also bring more effective data support for traffic management.

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Integrating large data of vehicle, serving intelligent traffic

Road congestion is a key problem in the construction of intelligent transportation system. We can realize the intersection adaptation and signal timing optimization by high-definition video surveillance, card port data and coil microwave data acquisition, and then using large data technology.

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Through large data analysis, the traffic capacity of some areas is obtained, which is used to optimize the traffic lights timing, in order to improve the efficiency of intersections in the region. In addition, we can also according to the early peak hours, holidays and multi-dimensional traffic conditions at the main key intersections, artificial or automatic system to set different timing to improve traffic capacity.

In addition, we can also analyze the vehicle trajectory when we recognize the video surveillance and the card data. To further excavate the large data of the vehicle, it can realize the comprehensive monitoring of the vehicle. Relevant departments have used Changzhou Vehicle Data platform to analyze vehicle trajectory and foothold, and found more than 10 sets of vehicles every day. In addition, we can get multi-dimensional data through intelligent algorithm and secondary recognition, such as license plate, license plate color, vehicle model, vehicle logo and so on, and then analyze and apply them in some specific scenes.

 

The article turns from: http://www.sohu.com/a/246088641_420744