Smart Technologies for Traffic Lights

Traffic lights are no exception. Almost unchanged for more than 100 years, the current American traffic signals have entered the era of machine learning. The result is an efficient safe and environmentally friendly transportation world. Technology for preventing traffic signals, for example can assist drivers in avoiding a life-threatening collision with pedestrians. A system that integrates traffic signals and an e-bike/scooter sensor will automatically time stoppages to align with commuters’ timetables.

IoT sensor and connectivity technology allows for intelligent traffic control systems that maximize energy efficiency by optimizing the timings of signals in real-time. The data gathered by cameras and sensors can be processed on the device or sent to a traffic management hub which then integrates it into AI-based algorithms. The result is a more precise model and predictive analysis that could help avoid congestion, align schedules for technologytraffic.com/ public transportation, and decrease carbon emission.

These advanced technologies can revolutionize urban transport systems. Smart e-bike/scooter sensors for instance, can detect and communicate the location of shared personal vehicles to make ride sharing more practical. Micromobility payment systems however permit parking on the street or road toll payments with no requirement for changing the correct amount.

IoT smart traffic technology can also increase the efficiency of public transport and make it easier for commuters to track trams and buses in real-time by using live tracking apps. Intelligent intersection technology could help prioritize emergency vehicles so that they arrive at their destination quicker – a breakthrough that has already reduced the number of crashes in certain cities.