Intelligent Traffic Vehicle-Road Collaboration: Industrial Fanless PC enable low-latency data interaction via 5G+V2X, solving deep industry pain points.
In the wave of intelligent traffic, vehicle-road collaboration is turning from concept to reality. When autonomous vehicles need millisecond-level responses in complex road conditions and urban traffic managers try to solve congestion, a core challenge emerges: how to achieve efficient data interaction among vehicles, roads, and clouds? Traditional communication technologies, with issues like high latency and insufficient coverage, have become key bottlenecks restricting vehicle-road collaboration. The fusion of 5G and V2X (Vehicle-to-Everything) offers a solution, and Industrial Fanless PC, as the core hub for data interaction, directly determine system reliability.
In a pilot project in a city, the V2X system based on 4G networks revealed fatal problems: when a vehicle travels at 80 km/h, a 100 ms communication delay means the vehicle has traveled an extra 2.2 meters, leaving no time for emergency responses. More severely, the coverage radius of traditional Road Side Units (RSUs) is only 300 meters, causing vehicles to be unable to obtain critical information like traffic light status and pedestrian intrusion warnings when entering signal blind spots. Data from an autonomous driving test site shows that communication interruptions account for 37% of takeover events, directly reducing test efficiency by 60%.
The three characteristics of 5G networks—Enhanced Mobile Broadband (eMBB), Ultra-Reliable Low-Latency Communication (URLLC), and Massive Machine-Type Communication (mMTC)—provide underlying support for vehicle-road collaboration. Take the Vehicle-Road-Cloud Integration Project in Jinan's Starting Area as an example. By deploying computing blades on 5G base stations, a three-tier architecture of "roadside sensing-edge computing-cloud collaboration" was constructed:
Roadside Sensing Layer: Radar-vision integrated machines collect real-time data on vehicle positions, speeds, trajectories, and traffic events.
Edge Computing Layer: 5G computing base stations fuse and process multi-source sensing data, generating structured information like pedestrian intrusion warnings and beyond-visual-range accident warnings (detection distance over 3 km).
Cloud Collaboration Layer: The V2X central cloud provides global decision support for traffic flow statistics and traffic light optimization.
This architecture compresses end-to-end latency to within 20 ms, with reliability reaching 99%, over five times higher than traditional solutions. In real tests, vehicles can obtain traffic light status changes 200 meters in advance, and the system automatically calculates optimal passage strategies based on vehicle speeds, improving intersection passage efficiency by 22%.
In vehicle-road collaboration scenarios, Industrial Fanless PCs need to handle massive sensor data, real-time protocol conversion, and edge computing tasks simultaneously. Take USR-EG628 from USR IOT as an example. It adopts a heterogeneous architecture of "ARM Cortex-A53 quad-core processor + dedicated protocol processing chip (ASIC)":
Main Control Core: Runs the Linux Ubuntu system, responsible for edge computing, data caching, and cloud platform communication. It supports Docker containerization deployment, allowing flexible operation of custom algorithms.
Coprocessing Core: Hardware-level implementation of parsing and encapsulation for over 20 industrial protocols like CAN, Modbus RTU/TCP, and Profinet, with data conversion latency below 5 ms, 80% lower than software solutions.
This design enables USR-EG628 to simultaneously connect 8 RS485 sensors, 4 Ethernet devices, and 5G/Wi-Fi/4G modules. In the Jinan project, a single device supported real-time processing of 12 video streams and over 500 data points.
The complexity of vehicle-road collaboration lies not only in hardware performance but also in the "soft power" of the software system. The WukongEdge edge intelligence platform built into USR-EG628 provides three core capabilities:
Protocol Plugin Architecture: Supports the development of custom protocol drivers through SDKs. An automaker completed the mapping development of a private protocol to Modbus TCP in just two weeks, reducing the integration cycle by 75%.
Graphical Configuration Tool: Completes protocol mapping and data point configuration through drag-and-drop. Engineers from a water group deployed 56 data points in two hours, 10 times more efficient than traditional methods.
Edge AI Inference: Built-in 1 TOPS AI computing power, capable of running lightweight models for tasks like vibration analysis and energy consumption prediction. In a blast furnace monitoring project at a steel plant, USR-EG628 reduced unplanned downtime by 40% through local deployment of an LSTM model for real-time bearing fault prediction.
Vehicle-road collaboration devices need to be exposed outdoors for long periods, facing challenges like lightning strikes, high temperatures, and electromagnetic interference. USR-EG628 adopts a three-tier protection design:
Electromagnetic Compatibility: Certified by IEC 61000-6-2, with industry-leading anti-interference capabilities.
Environmental Adaptability: Supports wide temperature operation from -40°C to 85°C, with an IP40 protection rating, suitable for extreme environments like deserts and plateaus.
System Stability: Built-in watchdog mechanism for automatic fault recovery, with an MTBF (Mean Time Between Failures) exceeding 100,000 hours.
In a marine photovoltaic power station project, USR-EG628 operated fault-free for three years in a salt spray corrosion environment, three times more reliable than traditional devices.
In the Intelligent Traffic Project in Chongqing's Liangjiang New Area, USR-EG628 achieved three breakthroughs:
Dynamic Traffic Light Optimization: By real-time collection of traffic flow and queue length data, green light durations are dynamically adjusted, improving main road passage efficiency by 18%.
Comprehensive Accident Warning Coverage: When roadside sensors detect an accident, the system generates warning information within 100 ms and broadcasts it to vehicles within a 500-meter radius via 5G networks, preventing secondary accidents.
Bus Priority Control: Buses request priority passage rights through V2X, and the system coordinates intersection traffic lights to turn green in advance, improving bus punctuality from 65% to 89%.
After the project was put into operation, the regional traffic accident rate decreased by 31%, reducing annual economic losses by over 20 million yuan.
In the reconstruction of a section of the Beijing-Hong Kong-Macau Expressway, USR-EG628 constructed a "perception-computing-control" closed loop:
Abnormal Vehicle Identification: Through radar and camera fusion perception, abnormal vehicles like those traveling at low speeds or with breakdowns are detected in real time, and warning information is generated and pushed to vehicles behind within 5 seconds.
Vehicle-Road Collaboration Speed Control: In sections with fog or construction, the system sends speed limit commands to vehicles through V2X, forcing them to slow down to a safe range.
Emergency Lane Management: When the emergency lane is occupied, the system automatically triggers acoustic and light alarms and uploads evidence to the traffic police platform, reducing emergency lane violation rates by 76%.
After the reconstruction, the incidence of secondary accidents on this section decreased from 4.2 per month to 0.7, and emergency response times were shortened by 40%.
In the 5G private network project at BYD's Jinan base, USR-EG628 supported concurrent communication for over 7,000 IoT terminals, realizing three unmanned scenarios:
Unmanned Logistics Vehicles: Through V2X to obtain real-time road right information, they autonomously plan paths and avoid obstacles, improving logistics efficiency by three times.
Intelligent Charging Management: The system dynamically schedules charging sequences based on vehicle battery levels, charging pile status, and grid load, saving over 1.2 million yuan in electricity costs annually.
Equipment Predictive Maintenance: By collecting data on equipment vibration and temperature, local AI models predict faults 30 days in advance, improving equipment utilization from 78% to 95%.
After the project was put into operation, park operating costs decreased by 27%, and annual output value increased by over 50 million yuan.
Take the reconstruction of a 50-kilometer intelligent expressway in a second-tier city as an example. The return on investment for deploying USR-EG628 is as follows:
Indicator Before Reconstruction After Reconstruction Improvement
Accident Rate 1.2 accidents/km/year 0.3 accidents/km/year -75%
Passage Efficiency 45 km/h 58 km/h +29%
Maintenance Cost 8 million yuan/year 5.2 million yuan/year -35%
Investment Payback Period - 3.2 years -
Core Values:
Safety Value: For every 1% reduction in the accident rate, annual economic losses are reduced by over 5 million yuan.
Efficiency Value: A 10% improvement in passage efficiency is equivalent to adding one lane.
Cost Value: Edge computing reduces data upload volume by 30%, lowering cloud service costs.
With the fusion of technologies like 5G-V2X, digital twins, and AI large models, vehicle-road collaboration is moving towards version 3.0:
Semantic Interoperability: Through the OPC UA information model, automatic discovery and invocation of device functions are achieved, such as intersection traffic lights and vehicles autonomously negotiating passage strategies.
Digital Twins: A virtual mirror of roads is constructed, enabling real-time simulation and optimization of traffic flow. A pilot project has reduced fault location time from 15 minutes to 2 minutes.
Autonomous Decision-Making: Edge AI models have scene understanding capabilities. For example, in unprotected left-turn scenarios, the system autonomously plans avoidance strategies, improving autonomous driving passage rates by 90%.
USR-EG628 has reserved technical interfaces for this evolution: it supports OPC UA Server functionality for constructing device semantic models; the built-in TensorFlow Lite framework can run lightweight AI models; and through HDMI interfaces, it supports digital twin visualization on external large screens.
When we see in Jinan's starting area that vehicles and roadside units "communicate" through 5G+V2X, and the system can perceive potential risks 3 kilometers away in advance; when unmanned logistics vehicles in BYD's park accurately avoid obstacles under the scheduling of USR-EG628, we suddenly realize: the true value of vehicle-road collaboration lies not in the complexity of the technology itself but in the new possibilities it creates for dialogue among traffic participants. This dialogue generates not just simple data flow but innovative energy released through low-latency interaction—it makes urban traffic safer, logistics more efficient, and autonomous driving more reliable.
Act Now: Submit an inquiry to obtain the 5G+V2X Vehicle-Road Collaboration Solution White Paper, Hardware Selection Manual, and free sample testing qualifications for USR-EG628. Let your project bridge the protocol gap and embrace the new era of intelligent traffic!
