Smart technologies for traffic are a delicately interwoven network of processes that help transportation personnel, drivers and commuters control the flow and efficiency of traffic. Utilizing advanced IoT devices, sensors, routers and cellular technology intelligent traffic systems automatically adjust control mechanisms such as traffic lights and freeway on-ramp meters bus rapid transit lanes highway message boards and even speed limits. They can also forecast changes in traffic demand and provide real-time information to road users.
Pittsburgh’s adaptive traffic signal system is a perfect example. Stephen Smith, a professor at Carnegie Mellon University’s (CMU), installed his first experimental traffic signals in the heavily trafficked area of East Liberty in the city. Smith saw immediate results. Drivers travelled 25 percent more efficiently and were able to drive 40 percent more efficiently.
The system collects data from sensors which monitor incoming traffic and adjusting their timing in real-time and also detecting pedestrians at intersections and allowing them time to cross the street. The sensors send their raw data to a central hub where it is processed by artificial intelligence and then dispatched back out to the intersections via 5G-enabled cell networks.
These intelligent systems allow for better and more accurate modeling of scenarios that minimize risks, which humans cannot do. And all of this is in real-time. This is a major step towards Vision Zero, the goal of safe road-driving where motorists and pedestrians are able to share the road without colliding.