Recently, around the "vehicle-road-cloud integration", favorable policies for the intelligent networked automobile industry have been frequently introduced. With the support of relevant policies, China's intelligent networked vehicles have developed rapidly, especially many enterprises focusing on "vehicle-road-cloud integration", and stepping up the layout from roadside perception computing, vehicle-road collaborative operation, and autonomous driving application landing. Industry insiders said that for the business model exploration problems faced in the development process, it is recommended to solve them by introducing social capital and promoting the construction of data platforms.
It is understood that the development momentum of China's intelligent networked automobile industry is booming, and the "vehicle-road-cloud integration" is expected to help the industry enter a new stage of development. According to data from the Ministry of Industry and Information Technology, by the end of 2023, a total of 17 national-level test demonstration zones, 7 Internet of Vehicles pilot areas, and 16 pilot cities for the coordinated development of smart cities and intelligent networked vehicles will be built across the country. According to the Ministry of Industry and Information Technology, at present, the development path of "vehicle-road-cloud integration" of intelligent networked vehicles has become an industry consensus, and it is also the key to promoting the large-scale industrial application of intelligent networked vehicles in the next stage.
Du Xiaoping, chief expert of the Western Zhilian Cloud Control Platform, told reporters that because it is always difficult to solve the problem of blind spots in the field of vision of bicycle intelligence, the "vehicle-road-cloud integration" technology that combines road-end perception capabilities and cloud coordination computing capabilities with bicycle intelligence is an inevitable choice for the development of intelligent networked vehicles, but the large-scale application of related industries still needs to open up more links.
With the support of policies and infrastructure construction, relevant enterprises in the industry are actively promoting the development of "vehicle-road-cloud integration".
The C-V2X intelligent network solution (C-V2X), which we previously demonstrated at the 2023 ITS World Congress in Suzhou, can transmit real-time traffic data collected at intersections to autonomous vehicles 300 meters away through C-V2X in real time, so as to make up for the shortcomings of blind spots in intelligent detection of bicycles, so that vehicles can make more efficient and safe decisions. As a provider of roadside infrastructure solutions in the 'vehicle-road-cloud integration', we will actively strengthen cooperation with local governments and related enterprises in the next step to further promote the construction of intelligent roads and lay the foundation for the development of intelligent networked vehicles. Gao Xin, executive deputy general manager of the intelligent network division of Wanji Technology, told reporters when introducing the company's intelligent network solutions.
Standing next to the self-driving car responsible for patrolling and promoting at the entrance of Beijing Yizhuang subway, Liu Mingmin, chief marketing officer of Neolithic Smartcom (Beijing) Technology, told reporters that as a vehicle-side autonomous driving solution provider company in the "vehicle-road-cloud integration", Neolithic is actively striving to access key elements on the roadside, such as traffic light signals, roadside perception equipment, etc., to strengthen the interaction between vehicles and the roadside, and aim to achieve the commercial application of tens of thousands of large-scale autonomous vehicles in 2024.
Wei Junqing, CEO of Carl Power, said about the development and implementation of the company's cloud products, "As a landing application of 'vehicle-road-cloud integration', Carl Power has landed a hybrid capacity scheduling platform kargocloud in Inner Mongolia and other places, which can dispatch both autonomous vehicles and driver-driven vehicles, so as to achieve efficient transportation of bulk commodities." In autonomous trucking, the driver drives a pilot vehicle to lead multiple Level 4 autonomous trucks. A truck driver can 'drive' 2 to 6 vehicles at the same time, making bulk logistics transportation more efficient and safer, and also allowing vehicles to be tested and operated for rapid commercialization. ”
It is worth noting that in the context of the rapid development of intelligent networking, some industry experts pointed out that the "vehicle-road-cloud integration", which is the foundation for the future development of the industry, not only requires the layout of upstream and downstream enterprises in the industrial chain, but also requires a higher level of multi-party cooperation to solve.
Tao Ji, chief intelligent driving technology officer of Changan Automobile, believes that China's intelligent networked vehicles have entered a new stage of commercialization, but the current intelligent driving industry ecology needs to be reconstructed urgently, especially the need to open up the data platform for independent battles.
In order to deal with related problems, Changan Automobile has established a data alliance with a number of car companies and ecological enterprises to strengthen a wider range of data sharing, achieve efficient data sharing, and reduce the cost of data acquisition for all parties, including OEMs, so as to avoid the problem of reinventing wheels. Tao Ji said.
In order to generate real economic benefits, the intelligent networked vehicle industry under the integration of vehicles, roads and clouds needs to achieve large-scale road coverage, which also means high infrastructure construction costs. It is suggested to introduce social capital, realize the model of multi-party joint efforts, and benefit from desensitized data from ** institutions and other relevant units by building an integrated data platform, which will help form a sustainable 'vehicle-road-cloud integration' business model. Du Xiaoping said, "The ultimate goal of the development of 'vehicle-road-cloud integration' is to realize the standardization of intelligent networked vehicles, so as to make the terminal vehicles unimpeded, which requires more enterprises, more places and more industry stakeholders to further strengthen cooperation, so as to truly realize the integration of 'vehicle-road-cloud integration', so that intelligent networked vehicles can truly achieve commercialization." ”
*: Economic Information Daily).