China News Service, Liuzhou, September 25th (Liu Juncong) "The use of intelligent network technology in the automotive industry can reduce the traffic accident rate to the current 1%." On the 25th, Li Keqiang, academician of the Chinese Academy of Engineering and professor of the School of Vehicles and Transportation of Tsinghua University Introduced in a video presentation.
On the same day, the 2022 China-ASEAN Automotive Industry Digital Sub-Forum and Liuzhou Internet of Vehicles Industry Conference were held in Liuzhou, Guangxi.
The conference invited a number of experts and scholars to exchange and discuss the development of China's intelligent networked vehicles.
Conventional vehicles are mechatronics products, while intelligent networked vehicles are mechatronics products, requiring cross-border integration of multiple industries such as automobiles, transportation facilities, and information and communication infrastructure (including 4G\5G, maps and positioning, and data platforms). .
The application of intelligent network technology in automobiles will lead to changes in the transportation system and ecosystem.
Academician Li Keqiang introduced that intelligent networked vehicles can reduce the traffic accident rate to the current 1% and improve road traffic efficiency by 10%. Driving in formation on the highway can reduce fuel consumption by 10% to 15%.
At present, the development of China's intelligent networked vehicles has risen to the national strategic level, and the development orientation has shifted from an important part of the concept of the Internet of Vehicles to intelligent integrated industries such as intelligent manufacturing and intelligent network connection.
In February 2020, 11 ministries and commissions including the National Development and Reform Commission jointly released the "Intelligent Vehicle Innovation and Development Strategy" to form a top-level design plan.
Chen Shanzhi, vice president of China Information and Communication Technology Group and director of the National Engineering Research Center for Mobile Communications and Internet of Vehicles, said that the future development of intelligent networked vehicles will be a gradual process.
From network-assisted driving, it develops to low-speed unmanned driving in specific scenarios such as mining areas, ports, and airports, and finally realizes unmanned driving on open roads.
The intelligent networked technology has attracted the attention of countries all over the world, but the intelligent networked automobile industry has not yet formed a successful experience.
Dai Yifan, director of the Center for Intelligent and Connected Vehicles at the Suzhou Automobile Research Institute of Tsinghua University, introduced that there are still many problems in the intelligent and connected vehicle industry that need to be overcome.
The first is the lack of professional infrastructure product solutions for normalized operations, as well as the lack of data interaction protocols and system collaboration paths, and the second is the lack of standardized and standard operation management systems.
There are more than 120 companies in China's intelligent networked vehicle industry engaged in product research and development of related tracks.
In 2021, China's intelligent networked vehicle shipments will reach 13.7 million units, and it is expected that China's intelligent networked system assembly rate will reach 53.3% this year.
As the channels through which cars can intelligently connect with the outside world become more and more abundant, the risk of cyber-attacks on cars also increases.
Dai Yifan said that car companies should periodically conduct offensive and defensive drills on the intelligent networked system, continuously optimize the defense-in-depth system, and conduct corresponding training for talents in intelligent networked technology.
As a city famous for its production of "new energy vehicles", the development of intelligent networked vehicle technology in Liuzhou, Guangxi has also attracted the attention of participating experts.
At present, Liuzhou has attracted 10 connected car companies to land, initially forming the clustering effect of the intelligent connected car industry.
"Liuzhou should continue to promote the hierarchical deployment and coverage of roadside infrastructure, and combine the advantages of the local automobile industry to build intelligent networked vehicle application scenarios in areas such as logistics trunk lines and vehicle bases." Chen Shanzhi said.
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