Edge Cloud for Intelligent Transportation and Connected Vehicles

Edge Cloud refers to the deployment of cloud computing and service environments at the edge of mobile networks. By decentralizing computing power from central data centers to edge nodes, Edge Cloud enables real-time, localized processing. It supports instant data collection and analysis from a vast array of smart traffic sensors—such as vehicles and road infrastructure—minimizing cloud transmission latency. This enhances traffic signal optimization, public transport dispatching, and congestion warnings, improving overall operational efficiency and the commuting experience.

In intelligent connected vehicle (ICV) scenarios, Edge Cloud offloads internal and external vehicle data processing to nearby nodes, improving real-time responsiveness and data security. This supports more accurate autonomous driving, efficient energy use, and robust safety mechanisms.

Product Architecture

Edge Cloud is built upon a distributed infrastructure that places computing, storage, and networking capabilities at edge nodes—closer to end-users and data sources. This low-latency, high-bandwidth, and secure platform follows an end-to-end “cloud-edge-terminal synergy” model:

• Low Latency: Proximity to the source drastically reduces transmission delays.
• Scalable Architecture: Elastic resource allocation adapts to real-time application needs.
• Containerization: Ensures fast deployment, isolation, and secure application management.

This architecture significantly reduces bandwidth costs and central cloud pressure, offering a flexible and robust environment for edge applications in smart mobility.

Core Features

Data Ingestion
Supports standardized protocol access for various devices, including vision sensors, radar units, signal controllers, dynamic lane control systems, VMS boards, and RSUs.

Data Fusion
Fuses multi-source heterogeneous sensor data using synchronized roadside acquisition and advanced AI algorithms to extract comprehensive and accurate traffic insights.

Single-Point Smart Control
Ingests trajectory and road network data to perform traffic analysis, diagnostics, and control deployment at the edge for localized intelligent management.

Collaborative Decision-Making
Leverages vehicle trajectory and real-time traffic data to deliver cloud-based decision recommendations (e.g., lane change, speed suggestions) to connected vehicles in standardized formats.

Collaborative Control
Provides real-time control services (such as vehicle status estimation and V2X-based driving commands) back to vehicle terminals for safe, coordinated operation.

Data Sharing
Standardizes and synchronizes data under multi-layered cloud frameworks, enabling support for remote driving, assisted driving, and cloud-based safety alerts.

Unified Management Tools
Centrally manages edge node access, configuration, monitoring, and analytics. Lifecycle management spans from device activation to retirement. Supports container-based full-cycle management of edge applications.

Highlights for Bidding and Deployment

Supports seamless deployment in smart city, ITS, and V2X pilot zones.
Compliant with industry standards for government infrastructure projects.
Easily integrates with traffic signal systems, public transport, and third-party platforms.
Field-tested and compatible with 5G/RSU/CVIS environments.
Scalable from single-road deployments to city-wide traffic command centers.

The Edge Cloud platform is a cornerstone infrastructure for next-generation traffic management and intelligent vehicle systems. It provides a powerful, adaptive, and secure environment for high-speed data interaction and control, helping cities and OEMs to deploy smarter, safer, and more responsive mobility solutions.