The Internet of Things and AI for a traffic system that is faster, safer, and easier to run
Built on the Internet of Things, big data, and artificial intelligence, this solution places sensors, roadside units, and in-vehicle terminals so roads, vehicles, and parking can see one another. It collects flow, vehicle state, and bay occupancy, then uses AI to time signals, coordinate vehicles and the road, guide drivers to a space, and dispatch buses. Congestion eases, trips take less time, and the street is safer and more comfortable to use.
The pressures that show up first on a busy network
Peak-hour queues slow the network, lengthen commutes, raise costs, and drag on how the city runs.
Crashes put lives and property at risk, and the response still takes too long.
Drivers cannot see which bays are free, the search takes too long, and many spaces sit unused.
Queues keep engines idling, so exhaust, air pollution, and carbon emissions all rise.
Four ways a city can run traffic with a clearer picture
AI timing that follows the traffic instead of a fixed plan
Video detectors, geomagnetic sensors, and radar count flow on every approach. Deep learning reads the pattern, forecasts the next period, and retimes the signals. At the peak, green on the arterial is extended and side-street waits shrink. Off peak, the cycle is shortened so green is not wasted on an empty approach. Neighboring junctions are timed together as a green wave, so the arterial keeps moving.
Deep learning forecasts flow and retimes the signals as traffic changes.
Signals along a corridor are timed as a green wave, and arterial throughput rises by more than 30%.
Data and the timing decision both move at millisecond scale, so a sudden change is picked up quickly.
Vehicles and the roadside share warnings and guidance in real time
C-V2X lets vehicles, the roadside, pedestrians, and the cloud exchange messages as events happen. A roadside unit (RSU) collects road conditions, incidents, and signal state, and sends them over 5G to the on-board unit (OBU). Drivers get collision warnings, blind-spot alerts, a signal countdown, and a suggested speed. In bad weather or poor visibility, that link makes the drive much safer. The same messages give an automated vehicle sensing and decisions beyond its own line of sight.
Low-latency, reliable vehicle-to-road links, under 20 ms, including at highway speed.
Collision warnings, blind-spot alerts, and hazardous-stretch alerts cut crash risk by 40%.
Automated vehicles get sensing and decisions beyond their own line of sight, which helps them operate on public roads.
Live bay status and guidance, so the search for a space is shorter
Geomagnetic sensors, video detectors, and ultrasonic sensors show which garage bays and curb spaces are taken. A driver checks nearby free bays in the app or the in-car navigation and gets a route to one of them. Inside the garage, guidance screens and floor lights point to the bay. Frictionless payment charges the plate as the car leaves, with no stop at a booth. Find-my-car, bay reservations, and off-peak discounts sit on the same service.
Citywide bay status stays current, and the free-space count is exact to the individual bay.
Plate recognition charges the car on exit, with no wait, and payment time falls by 90%.
Heat maps and turnover rates give planning a basis for where parking should sit.
Dispatch and passenger information that make the bus a more reliable choice
GPS and BeiDou, 4G/5G, and on-board sensors report where each bus is, how fast it is moving, and how full it is. Dispatch retimes headways and routes from live traffic and passenger demand. Riders see the bus and its arrival on the app or the stop display and can plan around it. Signal priority holds a green or shortens a red for the bus, which improves punctuality. Electronic payment, lost-and-found, and a service rating sit on the same system.
History plus live traffic predicts the arrival, with an error under one minute.
Headways follow passenger demand: closer together at the peak, fewer empty trips off peak.
Signal priority raises average bus speed by 15% and on-time performance by 20%.
Results reported from smart transportation programs
How smart transportation is built and where it is used
Our traffic specialists will plan the network and stay through implementation