Mei Ri Jing Ji Xin Wen·2025-10-23 18:12Core Insights - GAC Group collaborates with 14 domestic and international automotive and autonomous driving companies to participate in a demonstration event for "Vehicle-Road-Cloud Integration" organized by the National Intelligent Connected Vehicle Innovation Center [1] - The event showcased two key application scenarios: "Cloud-Supported Automatic Emergency Braking" and "Cloud-Supported Green Wave Speed Guidance" [1] - The "Vehicle-Road-Cloud Integration" initiative is expected to significantly support the commercialization of smart public transport and unmanned delivery systems, with a projected industry scale exceeding 300 billion yuan by 2030 [1] Industry Overview - "Vehicle-Road-Cloud Integration" utilizes advanced information and communication technologies to create a cyber-physical system that integrates people, vehicles, roads, and clouds, enhancing traffic safety, energy efficiency, comfort, and operational efficiency [2] - This system allows vehicles to interact with roadside devices and cloud servers, improving safety through real-time risk information sharing and decision-making support [2] - The initiative represents an upgrade from the previous "Vehicle-Road Collaboration" concept, focusing on a holistic design for better synergy between smart vehicles and traffic systems [2] Technological Development - Various regions are actively promoting "Vehicle-Road-Cloud Integration" technology, with significant investments such as Beijing's 9.9 billion yuan project for smart road upgrades [3] - There is ongoing debate in the industry regarding the merits of "Single Vehicle Intelligence" versus "Vehicle-Road-Cloud Integration," with some companies advocating for the former due to lower costs and shorter implementation times [3][4] - GAC Group emphasizes that "Vehicle-Road-Cloud Integration" is a new phase in smart vehicle development, enhancing existing single-vehicle systems with digital infrastructure to overcome perception limitations [3] Market Challenges - Despite policy support and expanding pilot cities, "Vehicle-Road-Cloud Integration" lags behind single-vehicle intelligence in terms of industry enthusiasm, market acceptance, and technological maturity [5] - High costs and long infrastructure development cycles pose significant challenges, leading some companies to pivot towards more popular AI technologies [5][6] - The reliance on government investment for infrastructure and the current inadequacy of roadside technology to meet autonomous driving needs are critical barriers to progress [5][6] Future Directions - Experts suggest a phased approach to promoting "Vehicle-Road-Cloud Integration," starting with closed environments to refine technology before broader implementation [6] - Vehicles must possess standalone intelligent driving capabilities to ensure effective integration with roadside systems, creating a commercial ecosystem that enhances traffic safety [6]