Vehicle Connectivity

1. Definition and Core Principles

Vehicle connectivity refers to the technical framework that enables comprehensive data exchange between vehicles and their surrounding environment (other vehicles, road infrastructure, pedestrians, and cloud platforms) via next-generation information and communications technology (ICT). Its primary foundation is V2X (Vehicle-to-Everything) communication, encompassing four key scenarios: V2V (Vehicle-to-Vehicle), V2I (Vehicle-to-Infrastructure), V2P (Vehicle-to-Pedestrian), and V2N (Vehicle-to-Network). By endowing vehicles with "beyond-line-of-sight perception", connectivity allows them to transcend the physical limitations of onboard sensors, marking a crucial evolution from standalone vehicle intelligence to cooperative intelligence.

2. Technical Architecture and Communication Standards

The technical implementation of vehicle connectivity relies on three key pillars: "Communication, Computing, and Security". At the communication level, the mainstream technology is C-V2X (Cellular Vehicle-to-Everything) , supporting two operating modes: PC5 direct communication (short-range, low-latency transmission) and Uu interface (wide-area cellular communication via base stations). C-V2X comprises two evolutionary standards: LTE-V2X and NR-V2X, with the latter supporting more advanced cooperative autonomous driving scenarios. At the computing level, the synergy between edge computing and cloud computing enables an optimal division of labour between low-latency processing and network-wide traffic optimisation. At the security level, Public Key Infrastructure (PKI) ensures robust identity authentication and encrypted data transmission.

3. Application Scenarios and Functional Evolution

Connected vehicle technology is progressively advancing from basic telematics services to higher levels of driving automation. Early deployments focused on in-car infotainment, remote diagnostics, and telematics; current applications have expanded into cooperative driving—allowing vehicles to obtain traffic light timing data via V2I for "green wave" traffic flow optimisation, issue early warnings for sudden braking ahead via V2V to prevent pile-ups, and detect pedestrian mobile signals via V2P to decelerate and yield in advance. By providing an alternative data channel in scenarios where standalone vehicle sensors are compromised—such as blind intersections or adverse weather—connectivity serves as a vital pillar in enhancing driving safety.

4. Industry Progress and Policy Framework

China has established a globally leading, systematic footprint in vehicle connectivity. As of 2025, more than 8,700 Roadside Units (RSUs) have been deployed nationwide, with Level 2 (L2) driver assistance systems achieving a penetration rate of over 60% in new vehicles. The standard series titled "Cooperative Intelligent and Connected Vehicles Based on Advanced Mobile Communications" introduced in 2026 focuses on eliminating data silos between vehicles, roads, and the cloud, establishing the technical foundation for connected mobility. "Vehicle-Road-Cloud Integration" has become the core strategic roadmap for the development of intelligent connected vehicles (ICVs) in China.

5. Future Trends

Connectivity and vehicle autonomy are shifting from parallel tracks toward deep integration. With rapid advancements in computing-network convergence, vehicles can harness cloud and edge computing power in real time to meet the data processing requirements of Level 4 (L4) and above autonomous driving. The industry is pivoting from basic "connectivity capacity building" to "cooperative intelligent applications", driving the formation of an integrated "Vehicle-Energy-Road-Cloud-City" ecosystem. Meanwhile, harmonising cross-industry technical standards, ensuring data security, and balancing cost-to-benefit ratios remain systemic challenges to be addressed for large-scale commercial deployment.