A delicately interwoven system of processes, smart technologies for traffic assist transport employees motorists, commuters and drivers control traffic flow and efficiency. Intelligent traffic systems are able to adjust control mechanisms such as traffic lights and freeway onramp meters as well as bus rapid transit lanes. They also use advanced IoT routers and hardware, cellular technology and cellular networks. They also can forecast changes in traffic demand and provide real-time information for road users.
An excellent example is the traffic signal system that is adaptive in Pittsburgh. When Carnegie Mellon University (CMU) professor Stephen Smith installed his first couple of traffic signals, which were merely experimental, in a heavily congested area of the city’s East Liberty, he saw immediate results: drivers traveled 25 percent faster and spent 40 percent less time idling in traffic jams than before.
The system works by capturing data from sensors which monitor the traffic flow and adjust their timings on the fly. It also detects pedestrians in intersections, and allows them enough time to safely cross the street. The sensors then send their raw data to a central center where it is processed by artificial Intelligence and then distributed back to the intersections using 5G-enabled cellular networks.
These intelligent systems also technologytraffic.com/2020/05/21/the-benefits-of-using-modern-traffic-technologies-by-data-room provide better, more accurate simulation of risk-minimizing scenarios that a human traffic manager could not accomplish and all in real time. This is a major step towards Vision Zero, the goal of accident-free road driving where cars and human beings are able to travel together without collision.