Vehicle-to-Everything (V2X) Intelligent Roadside Unit Training and Teaching System
This equipment is an operational training and teaching system for V2X vehicle-road collaboration technology. It is built on the basis of roadside units (RSU), MEC edge computing units, and various typ
Product Overview
This equipment is an operational training and teaching system for V2X vehicle-road collaboration technology. It is built on the basis of roadside units (RSU), MEC edge computing units, and various types of traffic sensing and signal control devices to create an intelligent traffic teaching environment. The system is used to support teaching tasks such as installation and debugging of V2X roadside equipment, parameter configuration, communication joint debugging, sensor calibration, and fault detection, helping students master the structural composition and operating mechanism of vehicle-road collaboration systems. It is suitable for vocational colleges, technical schools, and intelligent connected vehicle training bases to conduct courses related to V2X system integration and operation and maintenance.
Core Advantages
Real Components and System Display
Integrates RSU roadside units, MEC edge computing units, LiDAR, millimeter-wave radar, intelligent cameras, and traffic signal lights to display the real hardware composition and connection relationships of the V2X roadside collaboration system.
System Structure and Installation Position Cognition
The training platform demonstrates the installation layout and functional relationships of roadside communication devices, environmental perception sensors, and traffic signal control units, helping students understand the structural composition of the vehicle-road collaboration system.
Installation, Calibration, and Debugging
Supports the installation and basic calibration operations of LiDAR, millimeter-wave radar, and vision sensors, as well as configuration and debugging training for RSU roadside communication devices.
Perception Function Testing
Realizes traffic target detection, distance measurement, and environmental perception data collection and verification based on LiDAR, millimeter-wave radar, and vision cameras.
Multi-Sensor Fusion
Fuses data from LiDAR, millimeter-wave radar, and vision sensors to achieve traffic environment target recognition and basic environment modeling training.
V2X Vehicle-Road Collaboration
Supports V2X communication and data interaction between RSU and edge computing units, enabling traffic signal information dissemination and vehicle-road collaboration scenario joint debugging training.
Fault Setting and Diagnosis
Simulates communication anomalies, sensor anomalies, and signal control anomalies through an intelligent fault simulation system, supporting fault detection and localization training.
Safety Protection and Stable Operation
Equipped with circuit breakers, electrical overload protection, and IP66/IP67 protective-grade equipment structures to ensure electrical safety and stable operation during training.
Teaching Content & Training Projects
Hands-on training covering the following topics:
- LiDAR structure cognition
- Millimeter-wave radar structure cognition
- Visual sensor structure cognition
- LiDAR Installation and Calibration
- Millimeter-Wave Radar Installation and Debugging
- RSU Roadside Unit Installation and Configuration
- Traffic Target Data Collection and Analysis
- Radar Distance Measurement Data Analysis
- Image Data Collection and Target Recognition
- V2X Communication Joint Debugging
- Multi-Sensor Fusion System Joint Debugging
- Communication Abnormality Fault Detection
Technical Specifications
| Parameter | Value |
|---|---|
| External Dimensions | ≥1600×660×1850mm |
| Input Power Supply | Single-phase AC 220V |
| Protection Parameters | 16A 2P 400VAC 6kA Circuit Breaker |
| RSU Roadside Unit Communication Capability | Supports 3GPP R14 PC5, communication latency <20ms, maximum communication distance 600m, IP66 protection |
| LiDAR | Detection range 200m, accuracy ±3cm, IP67 protection |
| Millimeter-wave radar | Ranging range 0.2m-250m, accuracy ±0.40m (long distance), ±0.10m (short distance), IP67 protection |
| Intelligent camera | Resolution 1920×1080, horizontal field of view 81.3°, vertical field of view 43.6°, IP66 protection |
| MEC edge computing unit | 6-core 12-thread CPU (≥2.9GHz), 12GB GDDR6 video memory, 500GB SSD, Gigabit Ethernet + WiFi |
| Intelligent traffic signal light | Lamp panel 200mm, DC12V power supply, adjustable traffic signal mode control |
What's Included
- ✓ RSU roadside unit
- ✓ LiDAR
- ✓ Millimeter-wave radar
- ✓ Intelligent camera
- ✓ Intelligent traffic signal light
- ✓ MEC edge computing unit
- ✓ V2X intelligent roadside unit training platform
- ✓ Intelligent fault simulation system
Product Category
Automotive teaching equipment — suitable for vocational colleges, technical schools, and automotive training institutions.
Get a Quote for Vehicle-to-Everything (V2X) Intelligent Roadside Unit Training and Teaching System
Contact StarBrain for technical specifications, custom configurations, and delivery timeline.