Tsinghua University School of Vehicle and Transportation Engineering joins hands with Juefei Technology to promote the construction of smart city traffic cloud control platform

Recently, 11 ministries and commissions jointly issued the "Intelligent Vehicle Innovation and Development Strategy", which pointed out the direction for the development of the autonomous driving industry: China's intelligent vehicle development route has officially chosen the "vehicle-cloud-road" collaborative solution.

The joint release of 11 ministries is rare. This move, to a certain extent, marks that China's autonomous driving industry has officially entered the era of "focusing on data and strong integration". In the historical transformation from a "transportation power" to a "transportation power", the "car-cloud-road" model under the networked intelligent route will become the core strategy. At the same time, this move means the country's national will and support for the construction of "smart cities" and the construction of the intelligent driving industry. The development of smart cars has entered the main channel of China's economic development.

The School of Vehicle and Transportation Engineering of Tsinghua University, known as the "Huangpu Military Academy" of China's autonomous driving, has been in the process of effectively promoting the integration of perception and decision-making control, and implementing the process of substantiating the "car-cloud-road" model service. As early as the "Sixth Annual Forum of China Electric Vehicle Hundred People's Forum" on January 10 this year, Professor Li Keqiang, professor of the School of Vehicle and Transportation Engineering of Tsinghua University and director of the State Key Laboratory of Automotive Safety and Energy Conservation, pointed out that the existing autonomous driving and intelligent transportation are subject to a series of restrictions, so new ideas and new methods are needed to improve them. At the same time, the future development is neither the intelligence of a single vehicle nor the complete control by the cloud alone, but the integration of the two, that is, a system integrating car, road and cloud. This is the future development direction.

Under the leadership of Professor Li Keqiang, the School of Vehicle and Transportation Engineering of Tsinghua University has now joined forces with partners to build an autonomous driving cloud control platform, implement a cloud control mechanism based on vehicle management, and promote the construction of the future "cloud-controlled smart city". In order to achieve the overall coordination of cloud control platform services, the School of Vehicle and Transportation Engineering of Tsinghua University has now joined forces with Juefei Technology, China's leading provider of autonomous driving technology and solutions, to jointly improve and develop cloud-controlled vehicle management. In this cooperation, Juefei Technology uses its comprehensive data and technical capabilities to provide LBS data strategy modules on the cloud control platform. Through the interconnection between the vehicle and the cloud, accurate information such as vehicle speed limits and road changes are sent to smart vehicles, providing more efficient safety protection for drivers and fleet managers.

It is reported that Juefei Technology is committed to building a "data engine" for intelligent driving, and at present, it has become a leader in the "car-cloud-road" technology route. The "hybrid computing" advocated by Juefei Technology is one of the typical representatives of the third generation of artificial intelligence technology (post-deep learning era). Based on the logic of vehicle-road load sharing, through the efficient integration of vehicle-side sensor data, experience knowledge data and reasoning algorithms, it creates a safer and more reliable perception and decision-making system, and builds the data engine necessary for intelligent vehicles. It is the "standard configuration" of the intelligent driving industry.

At the same time, the School of Vehicle and Transportation Engineering of Tsinghua University is also conducting technical research and development based on fleet management, engine energy saving and other aspects, and continuously improving the efficiency and safety of intelligent vehicle operations through the cloud control platform. In the future, this platform will serve as the "traffic brain" in China's smart cities, and provide important support for the construction of digital cities, including road traffic analysis, fleet dispatch management and other directions. Professor Li Keqiang said: In the future, we want to make smart infrastructure, smart operation systems, information security systems and new automobile and bicycle hardware structures all operate under this system. Our future development goals are smart cities and smart transportation, which require a series of complex system tasks to be completed, and the cloud control platform will be a very important infrastructure.

As a winner of Toutiao's Qingyun Plan and Baijiahao's Bai+ Plan, the 2019 Baidu Digital Author of the Year, the Baijiahao's Most Popular Author in the Technology Field, the 2019 Sogou Technology and Culture Author, and the 2021 Baijiahao Quarterly Influential Creator, he has won many awards, including the 2013 Sohu Best Industry Media Person, the 2015 China New Media Entrepreneurship Competition Beijing Third Place, the 2015 Guangmang Experience Award, the 2015 China New Media Entrepreneurship Competition Finals Third Place, and the 2018 Baidu Dynamic Annual Powerful Celebrity.