The development of China's intelligent transportation industry has experienced the starting period represented by signal control technology in the 1980s and 1990s, and the mature period represented by video analysis technology from 2000 to 2015, and the current stage can be named after the era of smart transportation. In the current stage, the industry is not represented by a certain technology, AI technology, automotive electronic identification technology, big data analysis technology, cloud technology, Internet technology, vehicle and road cooperation technology blowout development, various types of traffic big data systems, urban brain The system was built on the ground.
In general, artificial intelligence and IOT awareness have changed the way data is acquired (perceived intelligence). The information obtained in the traditional market is dominated by videos and pictures. The intelligence perception is mainly based on license plates. With artificial intelligence and IOT The development of perceptual technology can tap data deeper, intelligently perceive license plate, vehicle characteristics, vehicle behavior, face, human body, non-motor vehicle, traffic information, and on the other hand, change the cognitive style of data (cognitive intelligence). The colliding of multi-dimensional data such as people, vehicles, and behaviors makes the information system more intelligent.
There are many opportunities in the intelligent transportation industry at the current stage. Each enterprise has its own areas of expertise and is suitable for the development direction of the enterprise itself. The focus of business investment is mainly from the industry and customer needs. For the current intelligent transportation industry, a complete solution with innovative technologies is more attractive to customers. For example, the human-vehicle big data system mentioned earlier requires the perceptive layer to have edge computing capability, as well as the center's big data analysis capability, and the perfect system architecture and software hardware support are all indispensable.
In the market competition, companies must achieve a commanding height in technology, products, solutions, services, etc. In terms of technology, the current emphasis is on AI technology. AI technology is essentially on traditional technology. To make changes and form new perception intelligence and cognitive intelligence, we are talking about data structuring and big data analysis, all of which are closely integrated with AI. AI technology can run through multiple industries throughout the information system. Instead of advocating a horizontal roll-out of each company, we must focus on the key AI technology that meets the needs of our customers, dig out business vertically, and provide customers with valuable products or solutions.
Data is the basis for promoting the development of intelligent transportation. People, vehicles, and behavior identification are all tools for acquiring data, and they are the enhancement of perceived intelligence. Perception is the foundation, from perceived intelligence to cognitive intelligence, and ultimately changes the business architecture to reach deeper business applications.
The compositional factors of the entire traffic data ecology include four factors: people, vehicles, roads, and stations. At present, information such as vehicle number plate, traffic volume, and vehicle characteristics can be sensed through a fixed detection device. The vehicle access data is obtained through video surveillance of the station hub, entrance and exit vehicle identification, and parking space detection equipment. With the improvement of vehicle coordination, assisted driving, and driverless technology, vehicle-related intelligent terminals can sense vehicle-related mobile data, including location and behavior. We can also use the Internet technology to perceive traveler information on mobile terminals (mobile phones). In the future, with the development and maturation of technology and the support of policies, these four types of information will be comprehensively perceived to form synergy between people and vehicles, and improve overall traffic efficiency.