Smart Technologies for Traffic

A delicately knitted network of processes, smart technology for traffic can investigate this site help transport workers as well as commuters and drivers to improve efficiency and flow of traffic. Intelligent traffic systems can adjust the controls of traffic lights as well as freeway onramp meters, and bus rapid transit lanes. They also utilize advanced IoT hardware and routers that use cellular technology as well as wireless networks. 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. Stephen Smith, a professor at Carnegie Mellon University’s (CMU) was the one who installed his first traffic signals to a heavily trafficked area of East Liberty in the city. He saw immediate results. Drivers travelled 25 percent farther and were able to drive 40 percent more efficiently.

The system collects data from sensors which monitor the traffic coming in and then adjusting their timings on the fly, as well as identifying pedestrians near intersections and giving them the time to safely cross the street. Sensors send their raw data into a central hub, which is then processed by artificial intelligence. The data is then transmitted back to the intersections via 5G-enabled cell networks.

These intelligent systems also permit better, more accurate simulation of risk-reducing scenarios that a human traffic manager could not accomplish – all in real-time. This is a major step towards Vision Zero, the goal of safe road-driving where motorists and pedestrians can travel together without colliding.