Intelligent Traffic Vehicle-Road Collaboration: Industrial Computer Enable Low-Latency Data Interaction via 5G+V2X, Addressing Critical Industry Pain Points
In the wave of intelligent transportation, vehicle-road collaboration technology is transitioning from concept to reality. When autonomous vehicles require millisecond-level responses in complex road conditions and urban traffic managers seek to resolve congestion challenges, a core issue emerges: how to achieve efficient data interaction among vehicles, roads, and the cloud? Traditional communication technologies, plagued by high latency and insufficient coverage, have become critical bottlenecks hindering the deployment of vehicle-road collaboration. The integration of 5G and V2X (Vehicle-to-Everything) offers a solution to this challenge, with industrial computer serving as the core hub for data interaction, directly determining system reliability through their performance.
In a pilot project in a certain city, a 4G-based V2X system revealed critical issues: when a vehicle travels at 80 km/h, a 100 ms communication delay means the vehicle travels an additional 2.2 meters, leaving no time for reaction in emergencies. More severely, traditional roadside units (RSUs) have a coverage radius of only 300 meters, leaving vehicles unable to obtain critical information such as 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 testing efficiency by 60%.
The three key features of 5G networks—enhanced Mobile Broadband (eMBB), Ultra-Reliable Low-Latency Communications (URLLC), and massive Machine-Type Communications (mMTC)—provide foundational support for vehicle-road collaboration. Taking the Jinan Pilot Zone's vehicle-road-cloud integration project as an example, a three-tier architecture of "roadside sensing-edge computing-cloud collaboration" was constructed by deploying computing blades on 5G base stations:
Roadside Sensing Layer: Integrated radar-vision devices collect real-time data on vehicle position, speed, trajectory, and traffic events.
Edge Computing Layer: 5G computing base stations fuse and process multi-source sensing data, generating structured information such as pedestrian intrusion warnings and beyond-line-of-sight accident warnings (detection distance exceeding 3 km).
Cloud Collaboration Layer: The V2X central cloud provides global decision support for traffic flow statistics and traffic light optimization.
This architecture reduces end-to-end latency to under 20 ms with 99% reliability, a more than fivefold improvement over traditional solutions. In real-world tests, vehicles receive traffic light status changes 200 meters in advance, and the system automatically calculates optimal passage strategies based on vehicle speed, improving intersection efficiency by 22%.
In vehicle-road collaboration scenarios, industrial computers must simultaneously process massive sensor data, perform real-time protocol conversion, and execute edge computing tasks. Taking USR-EG628 from USIOT as an example, it adopts a heterogeneous architecture combining an "ARM Cortex-A53 quad-core processor + dedicated protocol processing chip (ASIC)":
Main Control Core: Runs Linux Ubuntu, handles edge computing, data caching, and cloud platform communication, supports Docker containerization for flexible deployment of custom algorithms.
Coprocessing Core: Hardware-level implementation of parsing and encapsulation for over 20 industrial protocols, including CAN, Modbus RTU/TCP, and Profinet, with data conversion latency below 5 ms, an 80% improvement over 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 software systems. The built-in WukongEdge edge intelligence platform of USR-EG628 provides three core capabilities:
Protocol Plugin Architecture: Supports custom protocol driver development via SDK. An automaker completed mapping development between a proprietary protocol and Modbus TCP in just two weeks, reducing integration cycles by 75%.
Graphical Configuration Tool: Enables protocol mapping and data point configuration through drag-and-drop. Engineers from a water utility company deployed 56 data points in two hours, a tenfold efficiency improvement over traditional methods.
Edge AI Inference: Built-in 1 TOPS AI computing power runs lightweight models for tasks such as vibration analysis and energy consumption prediction. In a blast furnace monitoring project at a steel plant, USR-EG628 reduced unplanned downtime by 40% through real-time bearing fault prediction using a locally deployed LSTM model.
Vehicle-road collaboration devices must withstand prolonged outdoor exposure to challenges such as lightning strikes, high temperatures, and electromagnetic interference. USR-EG628 adopts a three-level protection design:
Electromagnetic Compatibility: Certified to 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, tripling reliability compared to traditional devices.
In Chongqing's Liangjiang New Area intelligent transportation project, USR-EG628 achieved three breakthroughs:
Dynamic Traffic Light Optimization: Adjusts green light duration in real-time based on traffic flow and queue length data, improving main road efficiency by 18%.
Comprehensive Accident Warning Coverage: Generates warning information within 100 ms after roadside sensors detect an accident and broadcasts it via 5G to vehicles within a 500-meter radius, preventing secondary accidents.
Bus Priority Control: Buses request priority passage via V2X, and the system coordinates intersection signals to turn green in advance, increasing bus punctuality from 65% to 89%.
After project commissioning, regional traffic accident rates decreased by 31%, reducing annual economic losses by over 20 million yuan.
In a reconstruction project on a section of the Beijing-Hong Kong-Macau Expressway, USR-EG628 constructed a "sensing-computing-control" closed loop:
Abnormal Vehicle Identification: Real-time detection of slow-moving or stranded vehicles through radar-camera fusion sensing, with warning information generated and pushed to following vehicles within 5 seconds.
Vehicle-Road Collaborative Speed Control: In foggy or construction zones, the system sends speed limit commands via V2X to enforce safe speed ranges.
Emergency Lane Management: Automatic sound-light alarms when emergency lanes are occupied, with evidence uploaded to traffic police platforms, reducing emergency lane violations by 76%.
After reconstruction, secondary accident rates on this section dropped from 4.2 per month to 0.7, with rescue response times shortened by 40%.
In BYD's Jinan Base 5G private network project, USR-EG628 supported concurrent communication for over 7,000 IoT terminals, enabling three unmanned scenarios:
Autonomous Logistics Vehicles: Obtain real-time road right information via V2X, autonomously plan paths and avoid obstacles, tripling logistics efficiency.
Intelligent Charging Management: Dynamically schedules charging sequences based on vehicle battery levels, charging station status, and grid load, saving over 1.2 million yuan in annual electricity costs.
Predictive Equipment Maintenance: Local AI models predict faults 30 days in advance by collecting equipment vibration and temperature data, increasing equipment utilization from 78% to 95%.
After project commissioning, campus operating costs decreased by 27%, with annual value-added production exceeding 50 million yuan.
Taking 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 incidents/km/year 0.3 incidents/km/year -75%
Traffic Efficiency 45 km/h 58 km/h +29%
Operation and Maintenance Costs 8 million yuan/year 5.2 million yuan/year -35%
Payback Period - 3.2 years -
Core Values:
Safety Value: Each 1% reduction in accident rate saves over 5 million yuan in annual economic losses.
Efficiency Value: A 10% improvement in traffic efficiency is equivalent to adding one lane.
Cost Value: Edge computing reduces data upload volume by 30%, lowering cloud service costs.
With the integration of 5G-V2X, digital twins, and AI large models, vehicle-road collaboration is entering the 3.0 stage:
Semantic Interoperability: Automatic discovery and invocation of device functions through OPC UA information models, enabling autonomous negotiation of passage strategies between traffic lights and vehicles.
Digital Twins: Construction of virtual road mirrors for real-time traffic flow simulation and optimization, with a pilot project reducing fault location time from 15 minutes to 2 minutes.
Autonomous Decision-Making: Edge AI models with scenario understanding capabilities, such as autonomous avoidance strategies in unprotected left-turn scenarios, increasing 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, incorporates the TensorFlow Lite framework for running lightweight AI models, and enables digital twin visualization through HDMI interfaces for external large screens.
When we witness in Jinan's pilot zone vehicles "conversing" with roadside units via 5G+V2X, with systems anticipating risks 3 kilometers ahead, and when we see BYD's autonomous logistics vehicles navigating obstacles under USR-EG628's coordination, we realize: the true value of vehicle-road collaboration lies not in technological complexity but in creating new possibilities for dialogue among traffic participants. This dialogue generates not just data flow but innovative energy released through low-latency interaction—making urban traffic safer, logistics more efficient, and autonomous driving more reliable.
Act Now: Submit an inquiry to receive the USR-EG628 5G+V2X Vehicle-Road Collaboration Solution White Paper, Hardware Selection Guide, and free sample testing qualifications. Let your project bridge the protocol divide and embrace the new era of intelligent transportation!
