How does smart transportation wake up sleeping traffic data?

The market size of the intelligent transportation industry reached 41.44 billion yuan, a year-on-year increase of 33.5%. It is expected to maintain a growth rate of more than 20% in the next few years. Today, when smart cities are accelerating, how can we use artificial intelligence to break the data of urban sleep, and let the city smartly bring travel and convenience to the citizens?

Data Mining and Artificial Intelligence in the Construction of Smart Cities

The construction of smart cities in China has experienced the stage of hardware expansion in the early stage of intelligent transportation construction. More and more city managers realize that 'homogeneous' hardware cannot solve the problem of 'personalized' urban traffic. Apply big data and artificial intelligence technologies to urban management and people's livelihood services, so that data helps cities to think and make decisions. The smart city is simply the four words that are most concerned about people's lives: clothing, food, housing and transportation.

In foreign countries, smart cities started from IBM Smart Earth in 2008 and entered the stage of development and integration. At present, they are moving closer to the mature stage. The obvious feature of foreign countries is to grasp the pain points of urban traffic, such as traffic congestion in London.

At present, the attention of smart city application areas in China is gradually reduced from transportation and public safety to buildings. The municipalities, sub-provincial, prefecture-level and county-level cities are very concerned about traffic. The Ministry of Industry and Information Technology, the National Development and Reform Commission, the Ministry of Public Security, and the Ministry of Communications The Ministry of Housing and Construction and other commissions have given support to the construction of smart cities. However, misunderstandings and challenges have always existed. The construction of smart cities in China has remained stuck in the construction of traditional vertical applications, lacking comprehensive applications, especially in depth applications. The fragmentation of various commission offices and the fragmentation of information have led to fragmentation of data and difficulty in sharing applications. Big data and artificial intelligence applications are also facing a high level of security.

In view of the construction of urban intelligent transportation system, Laijing Information uses the forward-looking technology independently developed to create an intelligent traffic big data analysis platform, which enables urban management to have a “data brain” to achieve access and compatibility of multiple data sources. Not only can the road network information be released and the message push can be implemented through the mobile Internet, but also the reuse and standard integration of highway information sources in different regions can be realized. The intelligent traffic big data analysis platform realizes the collection and management of traffic data, real-time and post-mortem analysis of data, providing real-time road condition information for public travel, and providing traffic supervision and planning technical support for the road administration department.

Expressway is one of the important ways for people to travel. High-speed traffic safety management has the characteristics of less police force, heavy tasks, many problems, and difficult management. The vehicle refinement identification system of Lijing Information closely follows the needs of the intelligent transportation industry, providing a complete and systematic industrial solution for high-speed projects, from high-speed intelligent vehicle analysis system, service area vehicle front face intelligent recognition and analysis system, and high-speed traffic survey. The information system is equipped with the "eyes of fire" for the high-speed wisdom, which promotes the development and construction of highway traffic management in China, and also provides reliable solutions for the intelligent traffic construction management system. At the social level, the people have a better choice of travel routes to avoid high-speed congestion problems; for the traffic management department, the vehicle management efficiency is improved and the operating costs are reduced.

In addition, in assisting the public security to solve the case, the high-speed bayonet system independently developed by the highway bayonet application can analyze the criminal information through the data brain through the collection of license plate, body color, model, and facial expression data of the vehicle. Providing support for solving crimes, improving the efficiency of solving crimes, and effectively controlling traffic violations such as forged license plates, decks, and overloads.

Artificial intelligence boosts smart thinking and service in cities

Through the road network monitoring, congestion point analysis, signal control and traffic problem diagnosis of big data, the scene information restores the vehicle trajectory, calculates the travel time, prevents and identifies the queue overflow of the road segment, and ensures the smooth operation of the regional road network traffic.

In the past, foreign roads were repaired in China. In the future, world traffic can also be managed by Chinese companies. These world-class technologies and solutions, such as traffic big data technology and advanced signal control systems based on the data brain, will greatly improve the efficiency of urban traffic control if it can be applied systematically.

The analysis and application of big data is the core technology in intelligent transportation, and it provides a total solution. Some cities have not done well in intelligent transportation because they have not considered the overall design. If a city can't invest too much at a time, it can be implemented step by step on the basis of the overall plan. If there is no overall plan, it will be difficult to systematically solve the congestion problem if it is planned separately.

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