Vehicle-road-cloud Integration and C-V2X Industry Research Report, 2025
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Vehicle-side C-V2X Application Scenarios: Transition from R16 to R17, Providing a Communication Base for High-level Autonomous Driving, with the C-V2X On-board Explosion Period Approaching

In 2024, the C-V2X pre-installations of passenger cars in China was approximately 500,000 units, with an assembly rate of 2.21%. It is expected that by 2028, the installations will exceed 2 million units, and the installation rate will exceed 8%. Once the pre-installed penetration rate of C-V2X exceeds 10%, the industry will enter a mature stage.

The main driving force lies in the significant expansion of application scenarios of R17 protocol. The R17 C-V2X module achieves three breakthroughs of "global connection - collaborative perception - safe and controllable", providing a communication base for high-level autonomous driving. With key technologies such as RedCap, NTN satellite networking, and MBS broadcasting entering the mass production stage in 2025, the Internet of Vehicles will enter a new stage of "global intelligence".

Key Technologies and application scenarios of R17 protocol in autonomous vehicles:

Vulnerable Road User Protection (V2P): R17 focuses on optimizing the reliability and delay of the direct communication link (PC5 interface), supporting vulnerable road users such as pedestrians and non-motorized vehicles to share location information in real-time through low-power terminals (such as wearable devices). Vehicles can receive collision warnings within 3ms, significantly improving safety in high-risk areas such as urban intersections and school surroundings. It is applicable to scenarios such as early warning for pedestrians suddenly crossing the road and blind spot prompts for non-motorized vehicles.

High-precision Environmental Perception Sharing: MBS adopts the point-to-multipoint (PTM) transmission mode. The Road Side Unit (RSU) distributes the same point cloud/video data to multiple vehicles simultaneously through shared air interface resources, saving 70% of air interface resources compared with the unicast mode and making up for the blind spot of single-vehicle perception. It enhances the vehicle's ability to identify obstacles and construction areas, with end-to-end data transmission < 20ms and warning response time ≤ 50ms.

Group Safety Information Broadcasting: MBS supports broadcast/multicast modes. The Road Side Unit (RSU) can uniformly push emergency accident, bad weather warning, or traffic control information to regional vehicles, saving 70% of air interface resources compared with unicast, alleviating network congestion in dense scenarios such as crossroads and highway ramps, and applicable to scenarios such as accident warning in tunnels and coordinated scheduling of traffic lights.

Emergency Communication in Remote Areas: Integrating Non-Terrestrial Network (NTN) satellite communication technology, vehicles in areas without ground base station coverage (such as forests and deserts) can send distress signals or receive navigation information through low-orbit satellite links, supporting emergency rescue and path planning, and filling the coverage blind area of traditional cellular networks. It is applicable to scenarios such as off-road adventure vehicles getting out of trouble and seeking help, and long-distance freight vehicles monitoring in remote sections.

Navigation in Complex Urban Environments: R17 improves the positioning accuracy to centimeter level (integrating GNSS + RTK). Combined with multipath/NLOS suppression algorithms, it improves the positioning reliability in satellite signal blind areas such as tunnels and under viaducts. Vehicles share real-time positions through V2V to dynamically optimize detour paths in congested sections. It is applicable to complex scenarios such as automatic parking in underground parking lots and precise guidance at urban viaduct ramps.

RedCap Terminal Support: Reducing the number of antennas (1-2) and bandwidth requirements (20MHz Sub-6GHz), the module cost is reduced, and power consumption is reduced by 20%-30%.

C-V2X modules have evolved from the initial R14 LTE-V2X to R16 5G NR C-V2X. R17 modules have been released one after another in 2024 and will be mass-produced and installed in vehicles in 2025.

R16 Protocol:

5G NR C-V2X has achieved large-scale mass production and on-board installation in 2024. For example, ZTE's 5G R16 ZM9300 module is equipped with self-developed S1V 5G chip, supporting 5G and C-V2X dual-mode communication. It is the first domestic chip supporting Cellular Vehicle-to-Everything (C-V2X) and was installed in models of SAIC, GAC, FAW, etc. in 2024.

R17 Protocol:

Favalon 5G Redcap automotive-grade module AN931: Built based on the Qualcomm SA510M platform, it integrates cost, performance, module hardware compatibility, and software platform architecture. It supports the latest 5G 3GPP R17, supports 5G SA (Standalone) mode, and is downward compatible with LTE and NR - FR1 networks.

Quectel's automotive-grade 5G RedCap module AG53xC series: Built based on the Qualcomm SA510M platform, it supports the 3GPP R17 standard and performs excellently in cost-performance balance, hardware compatibility, and software architecture, bringing more efficient and economical solutions to the in-vehicle communication field. At present, this series of modules has entered the mass production stage and is expected to support mass shipments for many automotive customers within the year.

MeiG Smart MA922 series modules:

Support 3GPP Release 17 standard 5G communication, support 5G NR Standalone (SA) and Non-Standalone (NSA) networks, and are downward compatible with 4G/3G/2G networks, and can be compatible with the frequency band requirements of major countries and regions around the world.
Support C-V2X function, use the globally unified ITS 5.9GHz frequency band to deploy V2X applications, and support PC5/Uu communication modes.
Support dual-frequency GNSS + RTK high-precision positioning, which can provide high-precision position information for V2X applications to ensure accurate interaction between vehicles and other traffic participants, thereby improving driving safety and traffic efficiency.
The module has a built-in ECDSA hardware acceleration engine, supporting 6000 signature verifications per second.
It integrates a CPU processor with 20K DMIPS computing power, eliminating the need for a separate external application processor for developing V2X applications, which greatly optimizes and improves the cost.
Based on the 3GPP R17 protocol, it supports 5G NB-NTN (Narrowband Non-Terrestrial Network) satellite communication technology, supports cellular communication through satellites, ensures global communication connections, and provides service continuity and service availability anywhere.

Road-side Infrastructure: Gradually Transitioning to 6G Based on 5G-A, Realizing "Integration of Communication, Perception, and Computing", and Gradually Enabling Road-side Data to Be Transmitted to Vehicles

CVIS relies on road-side perception devices (including various traffic sensors such as cameras, lidar, and radar) to collect original information of traffic targets (including 2D video images and 3D point clouds, etc.), which is then sent to road-side edge computing devices for analysis and calculation (including target detection and target classification) as well as perception fusion, generating structured data to represent the attributes of traffic targets (such as vehicle speed and heading, type and influence range of traffic events, etc.).

The structured data on the road side is further processed into V2X messages, specifically I2V messages. These I2V messages are sent by the RSU (Road Side Unit) via the PC5 wireless air interface, or by 5G/4G base stations via Uu wireless air interface to road traffic participants including motor vehicles and pedestrians.

In the field of road-side perception for autonomous driving, commonly used sensors include cameras, lidars, radars, and radar-vision integrated machines.

Baidu Auto Cloud 3.0: vehicle-road-cloud coordination capabilities include functions such as integrating traffic management data and optimizing path planning. Efficient computing power and data management technology provide underlying support for the intelligent upgrading of new energy vehicles. Facing the extremely high computing power requirements of current mainstream end-to-end simulation, Baidu Auto Cloud 3.0's heterogeneous computing power platform has the advantages of large computing power reserve and efficient operation, supporting domestic chips such as Kunlunxin P800.

With the support of large computing power, breaking through barriers of CVIS, Baidu Auto Cloud 3.0 is empowering the development of end-to-end autonomous driving.

ZTE, together with China Mobile and Huawei, released the "5G Integration of Communication, Perception, and Computing" Internet of Vehicles architecture: It has the advantages and highlights of connecting to vehicles, providing computing power to the edge, and enabling perception to the network. This architecture has three highlights: unified air interface, integration of communication and perception, and fusion of communication and computing:

For communication connection: Migrate the originally scattered PC5 network to the 5G network, uniformly carry V2X vehicle-road information, realize wide-area network connection at a lower cost, achieve high-reliability connection guarantee based on 5G QoS and slicing, further improve network performance, reduce construction costs, and speed up deployment.

For perception: Replace road-side perception devices such as millimeter-wave radar with communication-perception integrated base stations, which have wireless communication-perception integration capabilities, provide full-process and whole-network wireless perception computing, and realize multiple functions with one network through air interface resource sharing, further improving perception performance.

For computing power: Including two levels of computing power, cloud and wireless edge, to realize V2X cloud-edge collaboration. The first-level computing power realizes wide-area management and control, and the second-level computing power realizes integration of communication and computing with the base station, supporting real-time service sinking and intelligent data offloading, which can realize low-latency edge computing and local precise push.

 

Chapter 1 Definition and Market Overview of Vehicle-road-cloud Integration
1.1 Definition of Vehicle-road-cloud Integration
Definition
Subdivided Concepts
Architecture
Steps to Realize Data Closed-loop

1.2 Status Quo of Policies, Regulations and Standards for Vehicle-road-cloud Integration
Statistics of Guiding Policies for Vehicle-road-cloud Integration, 2024-2025
Guiding Policies for Vehicle-road-cloud Integration: Five Ministries and Commissions Promote Pilot Work on "Vehicle-road-cloud Integration" Applications for Intelligent Connected Vehicles
Statistics of Local Policies for Vehicle-road-cloud Integration, 2024-2025 (1)
Statistics of Local Policies for Vehicle-road-cloud Integration, 2024-2025 (2)
Statistics of Local Policies for Vehicle-road-cloud Integration, 2024-2025 (3)
Statistics of Local Policies for Vehicle-road-cloud Integration, 2024-2025 (4)
Local Policies for Vehicle-road-cloud Integration: "Zhejiang Province Intelligent Connected Vehicle Industry Development Action Plan (2025 - 2027)"
Local Policies for Vehicle-road-cloud Integration: Jinan "Pilot Construction Plan for Vehicle-road-cloud Integration in the Start-up Area of New and Old Kinetic Energy Conversion"
Evolution of Communication Standards for Vehicle-road-cloud Integration: The Global Shift to C-V2X is a Foregone Conclusion
Communication Standards for Vehicle-road-cloud Integration (Local): The First Batch of Local Standards for Vehicle-road-cloud Integration in Beijing Released

1.3 Scale and Pattern of Vehicle-road-cloud Integration
Proportion Structure of Vehicle-road-cloud Integration
Product Lines of Vehicle-road-cloud Integration Suppliers
Industry Chain Map of Vehicle-road-cloud Integration: Comparison of Supplier Capabilities

1.4 Evolution Trends and Key Technical Characteristics of 5G/6G Technologies
Stages of 5G Technology Evolution: Currently in the First Stage
Stages of 5G Technology Evolution: R18 Standard Officially Frozen
Stages of 5G Technology Evolution: Progress of R19 Standard
Stages of 5G Technology Evolution: 6G Standardization Started
Typical Technical Characteristics of 5G from R15 to R18
Key Innovation Points of R18 Protocol (1)
Key Innovation Points of R18 Protocol (2)
Key Innovation Points of R18 Protocol (3)
Key Innovation Points of R18 Protocol (4)
Key Innovation Points of R17 Protocol (1)
......................
Key Innovation Points of R17 Protocol (5)
Overview of Key Technologies of R17 Protocol
Overview of Key Technologies of R16 Protocol
Application of Enhanced Technology 5G-A in Vehicle-road-cloud Integration
Enhanced Technology 5G-A Realizes Integration of Communication and Perception
Architecture of 5G-A Integration of Communication and Perception
Application of Enhanced Technology 5G-A: Beijing 5G-A Demonstration Line Launched
Application of Enhanced Technology 5G-A: Shanghai Promotes 5G-A Infrastructure Construction
Application of Enhanced Technology 5G-A: Shanghai Jinqiao 5G-A Demonstration Line Launched
Application of Enhanced Technology 5G-A: Shanghai Taikoo Li 5G-A Smart Parking Lot Launched
Application of Enhanced Technology 5G-A: Hangzhou 5G-A Demonstration Line Launched

Chapter 2 Market and Trends of Vehicle-side C-V2X
2.1 Evolution Trend of Vehicle-side C-V2X
Evolution Trend of In-vehicle Communication Technologies (4G/5G/6G)
Evolution Trend of In-vehicle Communication Technologies (C-V2X)
R16 Protocol: Technologies and Application Scenarios of In-vehicle Communication Technologies (C-V2X) (1)
R16 Protocol: Technologies and Application Scenarios of In-vehicle Communication Technologies (C-V2X) (2)
R16 Protocol: Technologies and Application Scenarios of In-vehicle Communication Technologies (C-V2X) (3)
R17 Protocol: Improvements Compared with R16 Protocol (1)
R17 Protocol: Improvements Compared with R16 Protocol (2)
R17 Protocol: Key Technologies and Application Scenarios for Autonomous Vehicles
R16 & R17 Protocols: New Generation 5G C-V2X Communication Module Products (1)
R16 & R17 Protocols: New Generation 5G C-V2X Communication Module Products (2)
R16 & R17 Protocols: New Generation 5G C-V2X Communication Module Products (3)

2.2 Scale of Vehicle-side C-V2X Installation
Pre-installed C-V2X Market Size of Passenger Cars in China, 2022-2028E
Attached Data Table: Pre-installed C-V2X Market Size of Passenger Cars in China, 2022-2028E

2.3 Market Pattern of Vehicle-side C-V2X
Major Market Participants of Vehicle-side C-V2X Chips (1)
Major Market Participants of Vehicle-side C-V2X Chips (2)
Four Major Suppliers of C-V2X Modem Chips and AP Processor Chips
Major Participants of C-V2X Modules (1)
Major Participants of C-V2X Modules (2)
Major Participants of C-V2X Modules (3)

2.4 Functions Realized by Vehicle-side C-V2X
Main Functions Realized by OEMs through V2X Installation
Collaboration between OEMs' V2X Functions and Road Side: Prompt Class Applications Do Not Access the Intelligent Driving System
Collaboration between OEMs' V2X Functions and Road Side: Early Warning Class Applications Access the Decision-making Layer of the Intelligent Driving System
Collaboration between OEMs' V2X Functions and Road Side: Control Class Fusion Functions Should Integrate with the Intelligent Driving System at the Perception, Decision-making and Control Levels
OEMs' V2X Functions: Green Wave Traffic Architecture (1)
OEMs' V2X Functions: Green Wave Traffic Architecture (2)

2.5 Application Status of Vehicle-side C-V2X by OEMs
Five Requirements of OEMs for C-V2X Installation
Layout Trend of C-V2X by OEMs
Evolution of C-V2X Installation Forms by OEMs
Summary of C-V2X Installed Models: Independent Brands (1)
Summary of C-V2X Installed Models: Independent Brands (2)
Summary of C-V2X Installed Models: Independent Brands (3)
Summary of C-V2X Installed Models: Joint Venture Brands (1)
Summary of C-V2X Installed Models: Joint Venture Brands (2)
Summary of C-V2X Installed Models: Joint Venture Brands (3)
Summary of V2X Installation by OEMs 1: BMW's Autonomous Driving Software and V2X Solution Evolution
Summary of V2X Installation by OEMs 1: BMW's V2X Installations and Installation Rate
Summary of V2X Installation by OEMs 1: Functions Achievable by BMW's V2X
Summary of V2X Installation by OEMs 1: Localized R & D of BMW's V2X
Summary of V2X Installation by OEMs 2: Mercedes-Benz's Autonomous Driving Software and V2X Solution Evolution
Summary of V2X Installation by OEMs 2: Mercedes-Benz's V2X Installations and Installation Rate
Summary of V2X Installation by OEMs 2: Functions Achievable by Mercedes-Benz's V2X
Summary of V2X Installation by OEMs 3: Volkswagen's V2X Solution Evolution
Summary of V2X Installation by OEMs 3: Volkswagen's V2X Installations and Installation Rate (including FAW-Volkswagen and SAIC-Volkswagen)
Summary of V2X Installation by OEMs 3: Volkswagen
Summary of V2X Installation by OEMs 3: Functions Achievable by Audi (Volkswagen) V2X
Summary of V2X Installation by OEMs 4: Ford's Autonomous Driving Software and V2X Solution Evolution
Summary of V2X Installation by OEMs 4: Ford's V2X Installations and Installation Rate
Summary of V2X Installation by OEMs 4: Ford (Lincoln Corsair V2X Functions)
Summary of V2X Installation by OEMs 4: Ford's C-V2X Functions Cover 7 Cities
Summary of V2X Installation by OEMs 4: Ford's C-V2X Adopts Uu Interface
Summary of V2X Installation by OEMs 4: Ford's C-V2X to Expand to "Direct Connection" Mode Next
Summary of V2X Installation by OEMs 4: Functions Achievable by Ford's C-V2X System
Summary of V2X Installation by OEMs 4: Ford's C-V2X System Prioritizes Solving Traffic Efficiency Pain Points (1)
Summary of V2X Installation by OEMs 4: Ford's C-V2X System Prioritizes Solving Traffic Efficiency Pain Points (2)
Summary of V2X Installation by OEMs 5: FAW Hongqi's Autonomous Driving Software and V2X Solution Evolution
Summary of V2X Installation by OEMs 5: FAW Hongqi's V2X Installations and Installation Rate
Summary of V2X Installation by OEMs 5: FAW Hongqi Completes Vehicle-road-cloud Integration Testing
Summary of V2X Installation by OEMs 5: FAW Hongqi Explores Direct Communication
Summary of V2X Installation by OEMs 5: Functions Achievable by FAW Hongqi's V2X
Summary of V2X Installation by OEMs 6: NIO's Autonomous Driving Software and V2X Solution Evolution
Summary of V2X Installation by OEMs 6: NIO's V2X Installations and Installation Rate
Summary of V2X Installation by OEMs 6: NIO's V2X Technology
Summary of V2X Installation by OEMs 7: GAC AION's V2X Installations and Installation Rate
Summary of V2X Installation by OEMs 7: GAC AION Adopts Highly Integrated C-V2X Onboard Terminals
Summary of V2X Installation by OEMs 8: XPeng's Next-Gen EE Architecture Introduces V2X (1)
Summary of V2X Installation by OEMs 8: XPeng's Next-Gen EE Architecture Introduces V2X (2)
Summary of V2X Installation by OEMs 9: SAIC Group's V2X Installations and Installation Rate

2.6 Latest Technical Trends of Vehicle-side C-V2X
Stages of Vehicle-side C-V2X Technology Development: Increasing Application Scenarios
Trend of Vehicle-side C-V2X Technology Installation: Growing Integration
Trend of Vehicle-side C-V2X Technology Application Scenarios: Moving towards the Second Stage

Chapter 3 Market and Trends of Road-side Perception and Edge Computing
3.1 Basic Technologies of Road-side Perception
Vehicle-road Coordination Capabilities Required for Different Levels of Intelligent Roads
Main Road-side Perception Devices
Road-side Hardware Solutions for Vehicle-road Coordination (1)
Road-side Hardware Solutions for Vehicle-road Coordination (2)

3.2 Market Size of Road-side Perception
Market Size of C-V2X Modules for Road-side Use in China
Market Size of Road-side Communication RSU (1)
Market Size of Road-side Communication RSU (2)
Market Size of Road-side Perception (Highway) (1)
Market Size of Road-side Perception (Highway) (2)
Market Size of Road-side Perception (Urban) (1)
Market Size of Road-side Perception (Urban) (2)

3.3 Market Pattern of Road-side Perception
Major Suppliers of Road-side Perception Integration Solutions (1)
Major Suppliers of Road-side Perception Integration Solutions (2)
Major Suppliers of Road-side Perception Integration Solutions (3)
Layout of Road-side Perception Product Lines by Major Suppliers (1)
Layout of Road-side Perception Product Lines by Major Suppliers (2)

3.4 Technical Trends of Road-side Perception
Technical Trend of Road-side Perception: Multi-dimensional Perception Fusion
Introduction of AI Technology on the Road-side: OpenV2X (1)
Introduction of AI Technology on the Road-side: OpenV2X (2)
Technical Trend of Road-side RSU: Moving towards Virtual RSU

Chapter 4 Market and Trends of Edge-Cloud Market
4.1 Basic Technologies of Edge Computing
Edge Computing System Architecture (1)
Edge Computing System Architecture (2)
Edge Computing Security Architecture
Edge Computing Deployment View
Locations for Edge Computing Deployment

4.2 Basic Technologies of Cloud-side
Cloud Control Platform Architecture
Basic Architecture of Cloud Control Platform
Functional Architecture Diagram of Cloud Control Application Platform
Software Architecture of Cloud Control Platform
Application Architecture of Cloud Control Platform

4.3 Market Size and Competitive Pattern of Edge-Cloud Computing
Market Size of China's Edge-Cloud Collaboration Market
Summary of Edge Computing Platform Suppliers (1)
Summary of Edge Computing Platform Suppliers (2)
Summary of Edge Computing Platform Suppliers (3)
Summary of Edge Computing Chips (1)
Summary of Edge Computing Chips (2)
Summary of Edge Computing Chips (3)

4.4 Edge-Cloud Collaboration Architecture and Its Role in Autonomous Driving
Great Potential for Edge-Cloud Collaborative Computing Development
Edge-Cloud Collaboration Framework (1)
Edge-Cloud Collaboration Framework (2)
Transmission Path of Edge-Cloud Collaborative Computing in Autonomous Driving
Role of Edge-Cloud Collaborative Computing in the Development of Autonomous Driving
Edge-Cloud Collaborative Computing Helps Autonomous Driving Reduce Costs through "Data Closed-loop"
Edge Collaboration Technology Gradually Matures, Empowering High-level Autonomous Driving

4.5 Development Trends of Edge-Cloud Collaboration Technology
Development Trends of Edge-Cloud Collaboration Technology
Development Trend 1 of Edge-Cloud Collaboration Technology
Development Trend 2 of Edge-Cloud Collaboration Technology
Development Trend 3 of Edge-Cloud Collaboration Technology

Chapter 5 Applications of Vehicle-road-cloud Integration
5.1 Implementation Path of Vehicle-road-cloud Integration
Challenges in Vehicle-road-cloud Integration Construction
Challenge in Vehicle-road-cloud Integration Construction: Unblocking Data Circulation System
Demand for Collaborative Multi-party Integration in Vehicle-road-cloud Integration
Construction Ideas for Vehicle-road-cloud Integration (1)
Construction Ideas for Vehicle-road-cloud Integration (2)
Construction Idea for Vehicle-road-cloud Integration: Achieving Data Closed-loop

5.2 Cities with Vehicle-road-cloud Integration Implementation
Distribution of Cities with Vehicle-road-cloud Integration Implementation in China
Summary of Implementation Progress in Some Cities with Vehicle-road-cloud Integration in China (1)
Summary of Implementation Progress in Some Cities with Vehicle-road-cloud Integration in China (2)
Study on Vehicle-road-cloud Integration in Beijing: Development Stages of Demonstration Zones
Study on Vehicle-road-cloud Integration in Beijing: Evolving towards Stage 4.0, Exploring Dual-intelligence Cities
Study on Vehicle-road-cloud Integration in Beijing: Coverage of Demonstration Zone 3.0
Study on Vehicle-road-cloud Integration in Beijing: Characteristic Application Scenarios of Demonstration Zone 3.0
Study on Vehicle-road-cloud Integration in Beijing (Road-side Hardware Layout): Hardware Configuration of Dual-intelligence Intersections
Study on Vehicle-road-cloud Integration in Beijing (Road-side Hardware Layout): "Multi-pole Integration" Construction Plan for Demonstration Zone 3.0
Study on Vehicle-road-cloud Integration in Beijing (Economic Benefits and People's Livelihood Value): Improving Traffic Operation and Management Efficiency (1)
Study on Vehicle-road-cloud Integration in Beijing (Economic Benefits and People's Livelihood Value): Improving Traffic Operation and Management Efficiency (2)
Study on Vehicle-road-cloud Integration in Beijing (Regulatory Platform): Supporting "Pre-event - In-event - Post-event" Regulatory System for Demonstration Zone 3.0
Study on Vehicle-road-cloud Integration in Beijing (Safety Applications) (1)
Study on Vehicle-road-cloud Integration in Beijing (Safety Applications) (2)
Study on Vehicle-road-cloud Integration in Ordos (Characteristic Application Scenarios): Application Framework
Study on Vehicle-road-cloud Integration in Ordos (Characteristic Application Scenarios): Key "1 + 5 + 3" Application Pilots
Study on Vehicle-road-cloud Integration in Ordos (Characteristic Application Scenarios): Freight Logistics Routes
Study on Vehicle-road-cloud Integration in Ordos (Cloud Control Platform): City-wide "One Cloud" Cloud Control Platform
Study on Vehicle-road-cloud Integration in Ordos (Regulatory Platform): Establishing a Safety Monitoring Platform
Study on Vehicle-road-cloud Integration in Hangzhou - Tongxiang - Deqing Consortium: Different Layout Focuses of the Three Cities
Study on Vehicle-road-cloud Integration in Hangzhou - Tongxiang - Deqing Consortium: Supporting Infrastructure in Hangzhou
Study on Vehicle-road-cloud Integration in Hangzhou - Tongxiang - Deqing Consortium: Tongxiang Completes the First Holographic Real-time Digital Twin Intersection
Study on Vehicle-road-cloud Integration in Hangzhou - Tongxiang - Deqing Consortium: Data Upload from Tongxiang's Holographic Real-time Digital Twin Intersection to Vehicles
Study on Vehicle-road-cloud Integration in Wuhan: Construction Achievements
Study on Vehicle-road-cloud Integration in Chongqing (Road-side Hardware Layout): Smart Intersection Renovation
Study on Vehicle-road-cloud Integration in Chongqing (Regulatory Platform): Autonomous Driving Regulatory Platform

5.3 Application Scenario 1 of Vehicle-road-cloud Integration: Autonomous Vehicles
Functions Achievable by Intelligent Connected Vehicles Based on Vehicle-road-cloud Integration
Maturity of Vehicle-road-cloud Integration Application in Passenger Car Autonomous Driving
Typical Application Scenario Based on Vehicle-road-cloud Integration: Protection of Vulnerable Road Users
Comparison of Intelligent Connected Vehicles Based on Vehicle-road-cloud Integration: Buses/Coaches
Typical Application Case Based on Vehicle-road-cloud Integration: Chengdu's Urban-level Connected Vehicle Operation
Typical Application Case Based on Vehicle-road-cloud Integration: Beijing's Autonomous Driving Buses
Typical Application Case Based on Vehicle-road-cloud Integration: Ordos's Autonomous Driving Buses
Typical Application Case Based on Vehicle-road-cloud Integration: MOGO's First Pre-installed Mass-produced L4 Vehicle-road-cloud Integration Autonomous Driving Bus
Typical Application Case Based on Vehicle-road-cloud Integration: Guangzhou's Autonomous Driving Buses
AVP Valet Parking Application Case Based on Vehicle-road-cloud Integration: Shenzhen Airport's Autonomous Parking 2.0
AVP Valet Parking Application Case Based on Vehicle-road-cloud Integration: Shenzhen Airport's Autonomous Parking 2.0 Adopts NavInfo's Spatiotemporal Information Base

5.4 Application Scenario 2 of Vehicle-road-cloud Integration: Urban Autonomous Delivery
Promoting Role of Vehicle-road-cloud Integration in the Development of Autonomous Delivery
Comparison of Autonomous Delivery Solutions Based on Vehicle-road-cloud Integration
Commercial Cooperation Modes of Autonomous Delivery Based on Vehicle-road-cloud Integration
Implementation Status of Autonomous Delivery Based on Vehicle-road-cloud Integration
Autonomous Delivery Application Case Based on Vehicle-road-cloud Integration: Chengdu ZTO Opens "UAV + Autonomous Vehicle" Combined Transport Route
Autonomous Delivery Application Case Based on Vehicle-road-cloud Integration: Xi'an SF Express to Launch New Direct Delivery Mode from Transit Hub

5.5 Application Scenario 3 of Vehicle-road-cloud Integration: Urban Traffic Management
Application Direction of Vehicle-road-cloud Integration in Urban Traffic Management: Collaborative Intelligent Connected Traffic Management (1)
Application Direction of Vehicle-road-cloud Integration in Urban Traffic Management: Collaborative Intelligent Connected Traffic Management (2)
Development Trend of Urban Traffic Management Based on Vehicle-road-cloud Integration: Smart City is the Ultimate Goal
Development Trend of Urban Traffic Management Based on Vehicle-road-cloud Integration: Smart City Requires a Unified Physical Base
Development Trend of Urban Traffic Management Based on Vehicle-road-cloud Integration: Smart City Adopts "One Pool, Dual Networks" Architecture
Application Evolution of Vehicle-road-cloud Integration in Urban Traffic Management
Application Advantages of Vehicle-road-cloud Integration in Urban Traffic Management
Urban Traffic Management (Traffic Signal Optimization) Based on Vehicle-road-cloud Integration: Specifically Implementable Functions
Case of Urban Traffic Management (Traffic Signal Optimization) Based on Vehicle-road-cloud Integration: Wuxi Public Transport "Signal Priority"
Case of Urban Traffic Management (Traffic Signal Optimization) Based on Vehicle-road-cloud Integration: Beijing AI Signal-controlled Intersections
Case of Urban Traffic Management (Traffic Signal Optimization) Based on Vehicle-road-cloud Integration: Hainan AI Smart Intersections
Urban Traffic Management (Urban Governance and Emergency Response) Based on Vehicle-road-cloud Integration: Specifically Implemented Functions
Case of Urban Traffic Management (Urban Governance and Emergency Response) Based on Vehicle-road-cloud Integration: Hunan Expressway Vehicle-road-cloud Innovation Application Platform
Vehicle-road-cloud Integration in Urban Traffic Management (Cross-domain Data Interconnection): Architecture
Vehicle-road-cloud Integration in Urban Traffic Management (Cross-domain Data Interconnection): Data Transmission Methods
Case of Vehicle-road-cloud Integration in Urban Traffic Management (Traffic Decision Optimization): Hangzhou City Brain 3.0
Capabilities of Major Vehicle-road-cloud Integration Suppliers in Urban Traffic Management

5.6 Application Scenario 4 of Vehicle-road-cloud Integration: Smart Parks
Statistical Analysis of Smart Parks Based on Vehicle-road-cloud Integration
Typical Application Case Based on Vehicle-road-cloud Integration: Chongqing Science City Autonomous Driving Demonstration Park
Typical Application Case Based on Vehicle-road-cloud Integration: Construction Status of Suzhou Industrial Park's Around Jinji Lake Business District
Typical Application Case Based on Vehicle-road-cloud Integration: Achievements of Cloud Control Platform Construction
Vehicle Models Applied in Smart Parks Based on Vehicle-road-cloud Integration: Mining Trucks
Vehicle Models Applied in Smart Parks Based on Vehicle-road-cloud Integration: JD Autonomous Light Trucks

Chapter 6 Vehicle-road-cloud Integration System Integration Suppliers
6.1 Baidu
Operations
Vehicle-road-cloud Integration Layout
Vehicle-road-cloud Integration Architecture
Vehicle-side C-V2X Cooperation Cases
Vehicle-side: Characteristics of Auto Cloud 3.0 System
Vehicle-side: Auto Cloud 3.0 System Helps Upload Road-side Data to Vehicles
Vehicle-side: Comparison between Auto Cloud 3.0 System and Auto Cloud 2.0 System
Road-side: Comparison between Zhilu OS 2.0 and Zhilu OS 1.0
Road-side: ACE Intelligent Intersection
Cloud-side: Overall Architecture of Intelligent Transportation Engine 4.0
Cloud-side: Traffic Large Model Architecture
Vehicle-road-cloud Integration Vehicle-road-cloud Integration Application: Intelligent Signal Control
Vehicle-road-cloud Integration Vehicle-road-cloud Integration Application: Low-speed Autonomous Vehicles
Vehicle-road-cloud Integration Application: Intelligent Parking
Vehicle-road-cloud Integration Application: Smart Highways

6.2 Huawei
Operations
Vehicle-road-cloud Integration Layout
Vehicle-side: Hardware Product Lines
Huawei Vehicle-side: V2X Chips
Vehicle-side: V2X Modules
Road-side: Hardware Product Lines
Road-side: Technical Advantages of Vehicle-road-cloud Integration Harmony Intersection Intelligent Entity Joint Solution
Road-side: Vehicle-road-cloud Integration Harmony Intersection Intelligent Entity Joint Solution
Road-side: AI Ultra-low Light 5.0 Camera
Road-side: Binocular Radar-vision Integrated Machine
Road-side: Kunpeng + openEuler Hardware-software Collaborative Edge Computing Platform
Road-side: Server Operating System of Kunpeng + openEuler Hardware-software Collaborative Edge Computing Platform
Road-side: Application of Kunpeng + openEuler Hardware-software Collaborative Edge Computing Platform
Vehicle-road-cloud Integration Architecture: Vehicle-road-cloud Integration Based on 5G-A
 
6.3 ZTE
Operations
Vehicle-road-cloud Integration Layout
Vehicle-side: Hardware Product Lines
Vehicle-side: Adoption of Self-developed Dual-band Chip Module 5G S1V
Road-side: Hardware Product Lines
Road-side: Virtual Roadside Unit
Road-side: Integration Architecture of Communication, Perception and Computing
Road-side: Integration of Communication and Computing Y2002
Road-side Hardware (5G Road-side Computing Platform) - 1
Road-side Hardware (5G Road-side Computing Platform) - 2
Cloud-side: Digital Nebula Basic Platform
Cloud-side: Nebula Large Model + DeepSeek

6.4 Tencent
Operations
Vehicle-road-cloud Integration Layout
Road-side: Pan-V2X Road-side Collaborative Services
Cloud-side: Technology Evolution
Cloud-side: Tencent Cloud Full-stack AI Upgrade
Vehicle-road-cloud-network Full-link Services

6.5 Alibaba
Operations
Vehicle-road-cloud Integration Layout
Vehicle-side: 5G-OBU Intelligent Voice Device of TransInfo Technology Invested by Alibaba
Road-side: RSU of TransInfo Technology Invested by Alibaba
Cloud-side: Vehicle-road Coordination Solution Architecture
Vehicle-road-cloud Integration: Highwayway Solution in Alibaba TransInfo Technology

6.6 Hik AI Link
Vehicle-road-cloud Integration Layout
Vehicle-side: VT-BOX
Vehicle-side: Intelligent Terminal OBU
Road-side: Zhilu Pioneer
Road-side: Application Scenarios of Zhilu Pioneer
Road-side: Hardware RSU
Cloud-side: Intelligent Connected Cloud Control Basic Platform
Cloud-side: I2V Operation Platform
Vehicle-road-cloud Integration Solution: Smart Road Solution for Intelligent Vehicles
Vehicle-road-cloud Integration Solution Effectively Improves Traffic Efficiency

6.7 Hikvision
Operations
Vehicle-road-cloud Integration Layout
Road-side: New Generation Event Detection Series Products
Road-side: Edge-end Products of New Generation Event Detection Series
Road-side: Central-end Products of New Generation Event Detection Series
Road-side: New Generation Event Detection Series Products Supported by Visual Large Model
Road-side: Comparison between New Generation Event Detection Series Products and Previous Generation Products

6.8 Huali ISmartWays Technology
Vehicle-road-cloud Integration Layout
Vehicle-side: Hardware Product Lines
Vehicle-side: Software Protocol Stack
Road-side: Road-side Hardware
Cloud-side: Cloud Control Platform
Vehicle-road-cloud Integration: Industrial Cooperation Ecosystem

6.9 Tianan Zhilian
Vehicle-road-cloud Integration Layout
Vehicle-road-cloud Integration Application: Helping Wuxi Build a Benchmark City

6.10 CiDi
Operations
 Main Product Lines
Vehicle-road-cloud Integration Standard Construction
Vehicle-road-cloud Integration Layout
Vehicle-side: Hardware
Road-side: Intelligent Connected Road Management System
Road-side: Smart Intersection Solution

6.11 VanJee Technology
Operations
Vehicle-road-cloud Integration Layout
Vehicle-side: Hardware Products
Vehicle-side Hardware (1)
Vehicle-side Hardware (2)
Road-side: V2X (5G) Road-side Communication Terminal
Road-side: Edge Computing Unit
Road-side: Edge Computing Unit Base Iteration
Road-side: V2X + 3D LiDAR Road-side Intelligent Perception Solution
Road-side: Road-side 3D LiDAR
Cloud-side: Intelligent Connected Cloud Control Platform
Vehicle-road-cloud Integration Technical Base
Vehicle-road-cloud Integration Application Scenarios
Vehicle-road-cloud Integration Application: Overseas Expansion
Vehicle-road-cloud Integration Case: Beijing Yizhuang Demonstration Zone
Vehicle-road-cloud Integration Advantages: Low Cost and Good Performance
Vehicle-road-cloud Integration Cooperation: Jointly Launched a Comprehensive Solution for Improving Traffic Safety Resilience with Xingyun Shuju

6.12 Genvict Technologies
Operations
Vehicle-road-cloud Integration Layout
Vehicle-road-cloud Integration Full-stack Product System
Vehicle-side: Hardware Technology Evolution
Vehicle-side: Dual-mode V2X On-board Terminal
Vehicle-side: Intelligent Voice OBU
Road-side: Smart Intersection Holographic Perception Solution
Road-side: Hardware Products
Road-side: Multi-beam RSU
Road-side: Applied for RSU Patent Based on NearLink Technology
Road-side: Edge Computing MEC Technology Iteration
Cloud-side: Digital Twin Traffic Platform
Vehicle-road-cloud Integration Applications

6.13 Vision-Zenith TECH
Vehicle-road-cloud Integration Solutions
Vehicle-road-cloud Integration Hardware Layout
Road-side: Ultra-low Latency Technical Solution of "Video Stream + Structured Stream Dual Stream < 40ms"
Road-side: Realized Real-time Digital Twin Technology with Edge Computing
Vehicle-road-cloud Integration Application: Building Holographic Traffic Scenery
Vehicle-road-cloud Integration Application: Smart Parking Lot
Vehicle-road-cloud Integration Application: Panoramic Perception of Smart Parking Lot
Vehicle-road-cloud Integration Application Case: Shenzhen Airport P2 Parking Lot
Major Partners

6.14 China Mobile Shanghai Industrial Research Institute
Vehicle-road-cloud Integration Layout
Road-side: 5G A Edge Device
Road-side Edge Intelligent Computing
Vehicle-road-cloud Integration Application Implementation Path
Vehicle-road-cloud Integration Application Model Exploration (Operators and Governments Co-construct and Co-maintain Computing Network Infrastructure to Form a National Network Service)
Vehicle-road-cloud Integration Application Model Exploration (Operators and Governments Explore Vehicle - City Intelligent Entity Interaction System) - 1
Vehicle-road-cloud Integration Application Model Exploration (Operators and Governments Explore Vehicle - City Intelligent Entity Interaction System) - 2

6.15 CICT Connected and Intelligent Technologies (CICTCI)
Operations
Vehicle-road-cloud Integration Layout
Vehicle-road-cloud Integration Product Line
Vehicle-side C-V2X Modules (1)
Vehicle-side C-V2X Modules (2)
Vehicle-side C-V2X Fusion Intelligent Driving Domain Controller
Parameters of Vehicle-side C-V2X Fusion Intelligent Driving Domain Controller
Vehicle-side C-V2X Protocol Stack
Parameters of Road-side RSU (1)
Parameters of Road-side RSU (2)
Vehicle-road-cloud Integration Applications

6.16 NEBULA LINK
Vehicle-road-cloud Integration Product Line
Vehicle-side: V-Box II
Vehicle-side: DTU
Vehicle-side: VT-BOX
Vehicle-side: V2X Protocol Stack
Vehicle-side: V2X Protocol Stack Configuration Scheme
Road-side: RSU+ (Enhanced Intelligent Road-side System)
Cloud-side: Cloud Control Platform Architecture
Cloud-side: Access to Deepseek

6.17 Gosuncn
Vehicle-road-cloud Integration Product Line
Vehicle-side Modules
Vehicle-side OBU
Road-side RSU Architecture

6.18 SenseAuto
Vehicle-road Coordination Platform (1)
Vehicle-road Coordination Platform (2)
Road-side: V2X-E Edge Computing Platform
Cloud-side: V2X-M Intelligent Computing Platform
Vehicle-road-cloud Integration Application: V2X-I Vehicle-City-Network System
Vehicle-road-cloud Integration Application: SenseAuto Autonomous Driving Functional Vehicle

6.19 TransInfo Technology
Vehicle-road-cloud Integration Layout
Vehicle-side: OBU
Road-side: RSU
Vehicle-road-cloud Integration Application Cases

Chapter 7 C-V2X Chip and Module Suppliers
7.1 Qualcomm
Summary of Vehicle-road-cloud Integration Basic Technology Product Line
Vehicle-road-cloud Integration Basic Technology (1)
......................
Vehicle-road-cloud Integration Basic Technology (6)

7.2 Morningcore Technology
Summary of Vehicle-road-cloud Integration Basic Technology Product Line
Vehicle-road-cloud Integration Basic Technology (1)
......................
Vehicle-road-cloud Integration Basic Technology (5)

7.3 NXP
Summary of Vehicle-road-cloud Integration Basic Technology Product Line
Vehicle-road-cloud Integration: Chip Products Corresponding to C-V2X Architecture
Vehicle-road-cloud Integration (1)
Vehicle-road-cloud Integration (2)

7.4 Autotalks
Qualcomm Announced the Acquisition of Autotalks to Promote V2X Deployment
Evolution of Wireless Communication Product Line
C-V2X Chipset (1)
C-V2X Chipset (2)
C-V2X Chipset Application Cases

7.5 Quectel
Summary of Vehicle-road-cloud Integration Basic Technology Product Line
Automotive-grade 5G RedCap Modules
Automotive-grade 5G + C-V2X Modules
Automotive-grade 5G + C-V2X Modules
AG215S C-V2X Application Processor Module
5G + C-V2X End-to-end Solutions
C-V2X Module Application Cases (Partial)

7.6 MeiG Smart
Summary of Vehicle-road-cloud Integration Basic Technology Product Line
New Generation 5G C-V2X Modules
Automotive-grade C-V2X (1)
Automotive-grade C-V2X (2)
Automotive-grade C-V2X (3)
Automotive-grade C-V2X (4)

7.7 Favalon
5G Internet of Vehicles Communication Module and AI Intelligent Cockpit System-in-Package (SIP) Solution
Layout of Automotive Pre-installed Communication Module Product Line (1)
Layout of Automotive Pre-installed Communication Module Product Line (2)
Key Products of Communication Modules
5G Communication Module (1)
5G Communication Module (2)
AI Flagship Intelligent Cockpit Module

7.8 CICTCI
Evolution of Wireless Communication Module Product Line
5G Communication Modules
C-V2X Modules (1)
C-V2X Modules (2)
Wireless Communication On-board Terminals (1)
Wireless Communication On-board Terminals (2)
Software Capabilities of Automotive Communication Modules (1)
Software Capabilities of Automotive Communication Modules (2)

7.9 Neoway Technology
On-board Module Product Line
5G Communication Modules
5G + C-V2X Automotive-grade Modules (1)
5G + C-V2X Automotive-grade Modules (2)

7.10 Titan Invo Technology (Telit)
Evolution of Wireless Communication Module Product Line
C-V2X Modules

7.11 Sunsea AIoT Technology
Evolution of Wireless Communication Module Product Line: Longsung Technology
5G Communication Modules of Subsidiary Longsung Technology
C-V2X Modules of Subsidiary Longsung Technology
Wireless Communication Module Product Line
5G Communication Modules of Subsidiary SIMCom Wireless Solutions
C-V2X Modules of Subsidiary SIMCom Wireless Solutions

7.12 GosuncnWelink Technology
Layout of Wireless Communication Module Product Line
5G + C-V2X Communication Modules (1)
5G + C-V2X Communication Modules (2)
5G + C-V2X Communication Modules (3)

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ResearchInChina releases "VLA Large Model Applications in Automotive and Robotics Research Report, 2025": The report summarizes and analyzes the technical origin, development stages, application cases...

OEMs’ Next-generation In-vehicle Infotainment (IVI) System Trends Report, 2025

ResearchInChina releases the "OEMs’ Next-generation In-vehicle Infotainment (IVI) System Trends Report, 2025", which sorts out iterative development context of mainstream automakers in terms of infota...

Autonomous Driving SoC Research Report, 2025

High-level intelligent driving penetration continues to increase, with large-scale upgrading of intelligent driving SoC in 2025 In 2024, the total sales volume of domestic passenger cars in China was...

China Passenger Car HUD Industry Report, 2025

ResearchInChina released the "China Passenger Car HUD Industry Report, 2025", which sorts out the HUD installation situation, the dynamics of upstream, midstream and downstream manufacturers in the HU...

ADAS and Autonomous Driving Tier 1 Suppliers Research Report, 2025 – Chinese Companies

ADAS and Autonomous Driving Tier 1 Suppliers Research Report, 2025 – Chinese Companies Research on Domestic ADAS Tier 1 Suppliers: Seven Development Trends in the Era of Assisted Driving 2.0 In the ...

Automotive ADAS Camera Report, 2025

①In terms of the amount of installed data, installations of side-view cameras maintain a growth rate of over 90%From January to May 2025, ADAS cameras (statistical scope: front-view, side-view, surrou...

Body (Zone) Domain Controller and Chip Industry Research Report,2025

Body (Zone)  Domain Research: ZCU Installation Exceeds 2 Million Units, Evolving Towards a "Plug-and-Play" Modular Platform The body (zone) domain covers BCM (Body Control Module), BDC (Body Dom...

Automotive Cockpit Domain Controller Research Report, 2025

Cockpit domain controller research: three cockpit domain controller architectures for AI Three layout solutions for cockpit domain controllers for deep AI empowerment As intelligent cockpit tran...

China Passenger Car Electronic Control Suspension Industry Research Report, 2025

Electronic control suspension research: air springs evolve from single chamber to dual chambers, CDC evolves from single valve to dual valves ResearchInChina released  "China Passenger Car Elect...

Automotive XR Industry Report, 2025

Automotive XR industry research: automotive XR application is still in its infancy, and some OEMs have already made forward-looking layout  The Automotive XR Industry Report, 2025, re...

Intelligent Driving Simulation and World Model Research Report, 2025

1. The world model brings innovation to intelligent driving simulation In the advancement towards L3 and higher-level autonomous driving, the development of end-to-end technology has raised higher re...

Autonomous Driving Map (HD/LD/SD MAP, Online Reconstruction, Real-time Generative Map) Industry Report 2025

Research on Autonomous Driving Maps: Evolve from Recording the Past to Previewing the Future with "Real-time Generative Maps" "Mapless NOA" has become the mainstream solution for autonomous driving s...

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