Smart Technologies for Traffic Lights

Traffic lights aren’t the only exception. The American traffic lights which have remained virtually unchanged for a century now, are now controlled by machine learning. The result is a faster safer, more secure and green transportation system. Technology for preemption of traffic signals for instance will help drivers avoid dangerous collisions with pedestrians. A system that integrates traffic signals and an e-bike/scooter sensor will automatically time stoppages in accordance with commuters’ timetables.

IoT sensor and connectivity technologies help intelligent traffic control systems that maximize energy efficiency by improving signal timings according to real-time conditions. The data that moved here sensors and cameras can be pre-processed on the device or transmitted to an automated traffic management hub where it is incorporated into AI-based algorithms. The results are more precise analysis and predictive modeling to reduce congestion, align public transit schedules and reduce carbon emissions.

These technologies are smart and could transform urban transportation systems. Smart e-bike and scooter sensors, for example, can detect and relay the location of shared personal vehicles for more convenient ride-sharing micromobility payment systems can facilitate street parking and road-toll payments without the need for correct change.

Smart traffic technology based on IoT could also increase the efficiency of public transit by allowing commuters to track trams and buses in real-time via live tracking applications. Intelligent intersection technology can prioritize emergency vehicles, allowing them to get to their destination faster This is an innovation that has already dramatically reduced the rate of crashes in a few cities.