A delicately interwoven system of processes, smart technology for traffic help transport personnel as well as commuters and drivers to control traffic flow and efficiency. Intelligent traffic systems can alter the control mechanisms, such as traffic lights as well as freeway onramp meters, and bus rapid transit lanes. They also make use of advanced IoT routers and hardware with cellular technology, as well as cell networks. They can also help forecast shifts in traffic demands top free traffic simulation software list and provide a range of real-time information to road users.
Pittsburgh’s adaptive traffic signal system is an excellent example. When Carnegie Mellon University (CMU) professor Stephen Smith installed his first couple of traffic signals, which were merely experimental, in a highly congested part of the city’s East Liberty, he saw immediate results: Drivers traveled 25 percent more efficiently and spent 40 percent less time in traffic jams than before.
The system collects data from sensors that track the traffic flow and adjust their timing in real-time, as well as spotting pedestrians at intersections, and giving them time to traverse the street. The sensors transmit their raw data into a central hub which is then processed by artificial intelligence. It is then sent back to the intersections via 5G-enabled cell networks.
These intelligent systems allow for more accurate and precise modeling of scenarios that reduce risks, which human traffic managers are unable to attain. All this in real-time. This is a significant step towards Vision Zero, the goal of accident-free road driving where motorists and pedestrians can share the road without colliding.