Urban and highway intelligent transport
Positioning
Smart transportation combines comprehensive sensing, data fusion, intelligent control and coordinated services to address congestion, road safety and public-transport performance. Applications include urban traffic management, highway operation, bus and passenger services, parking and logistics, with support for vehicle-road-cloud coordination.
Core functions
Sensing and information
Roadside equipment may include video, millimetre-wave radar, lidar, magnetic and microwave detectors, weather and visibility sensors. Number-plate and vehicle classification systems can support authorised traffic-management tasks such as red-light, wrong-way, lane, speed and parking event detection. Appropriately authorised floating-vehicle and mobile-network data can support origin-destination estimates, journey times and congestion measures. Bus and taxi systems may combine vehicle location, passenger counts and DMS/ADAS integrations.
Signal control and traffic organisation
Functions include adaptive junction control, coordinated corridors or green waves, area coordination, bus priority and emergency-vehicle routes. Predefined plans can support major events, severe weather and incident diversion. Microscopic or mesoscopic simulation can evaluate layouts, signal phases and proposed changes.
Transport operations and services
Combine road conditions, incidents, enforcement events, buses, parking and weather through shared governance and indicators for congestion, delay, queues and network health. Incident detection should support video review, authorised dispatch and closed-loop response records. Public services may include variable-message signs, route guidance, mobility-as-a-service, electronic bus-stop signs, arrival and crowding information, parking guidance/payment and shared-cycle geofencing and dispatch.
Highways and vehicle-road coordination
Highway applications include ETC data, tunnel ventilation/lighting and fire monitoring, bridge health, authorised overload management and maintenance inspection. RSUs and edge computing can support V2X messages such as BSM, RSM and RSI, cooperative perception, intersection and vulnerable-road-user warnings, and agreed testing-zone applications.
Technical approach
Sensing connects through fibre networks, 5G and C-V2X with suitable isolation. Roadside MEC supports fusion and low-latency alerts. Data and spatial services, AI, simulation and control distribution support traffic, bus, parking, maintenance and public-service applications, with command dashboards and field/mobile terminals.
Fuse video and radar at target level, align coordinates and maps, and evaluate occlusion and night-time performance.
Authenticate signal-control commands, validate both directions and provide human confirmation where required. Automatic control must support rollback and operator takeover.
The reference target for V2X safety messages is end-to-end latency at approximately 100 ms or less, subject to system selection and agreed tests. Critical devices need suitable power redundancy and local operation during network loss.
China deployment planning should review applicable video, roadside-checkpoint, signal-control and C-V2X message standards, including GB/T 28181 where relevant. Authorise and audit access to facial or movement data and follow applicable public-security/transport data controls.
Implementation
Diagnose congestion, collision hotspots and public-transport gaps. Phase sensing and control before advanced operations and services. Design roadside structures, power, ducts and construction traffic management. Deploy platforms, agree cross-department data access and optimise signals. The reference plan uses at least 1–3 months of before/after observation. Launch public services and maintain data, algorithms and operating KPIs.
Intended benefits
The goals include shorter corridor journeys and parking delay, fewer accidents, better bus punctuality and more effective authorised traffic management. The supplied proposal includes a 10%–25% corridor journey-time reduction as an indicative ambition, requiring site-specific baseline measurement and validation.
