A delicately interwoven network of processes, smart technologies for traffic help transport personnel commuters, drivers and drivers control traffic flow and efficiency. Using advanced IoT hardware, sensors routers, cellular technology and sensors smart traffic systems can modify control mechanisms in a dynamic manner, such as traffic lights and freeway on-ramp meters bus rapid transit lanes highway message boards and even technologytraffic.com/2022/04/28/turning-to-data-room-to-gain-a-competitive-advantage-in-ma speed limits. They can also predict changes in traffic demand, and provide real-time information for road users.
A good example is the traffic signal system that is adaptive in Pittsburgh. When Carnegie Mellon University (CMU) professor Stephen Smith installed his first few traffic signals that were experimental in a crowded area of the city’s East Liberty, he saw immediate results. Drivers drove 25 percent more efficiently and spent 40 percent less time idling in traffic jams than they had before.
The system works by collecting data from sensors which monitor the traffic flow and adjust their timing on the fly and also identifying pedestrians near intersections and giving them enough time to safely traverse the street. The sensors transmit their raw data to a central hub where it is processed by artificial intelligence. It is then sent back to the intersections using 5G-enabled cell networks.
These systems are also able to permit better, more precise modeling of risk-reducing scenarios that a human traffic planner could not manage – all in real-time. This is a major step towards Vision Zero, the goal of a road with no accidents where cars and human beings can travel together without colliding.
