Smart Technologies for Traffic Lights

Everything is getting smarter these days including traffic signals. In fact, after more than 100 years, today’s traffic engineering applications American traffic lights are now undergoing machine learning. The result is a more efficient safer, more secure and sustainable transportation system. Traffic signal preemption is one example. It can aid drivers in avoiding a potentially life-threatening collision. A system that integrates traffic signals and e-bike/scooter sensors will automatically schedule stoppages to coincide with commuters’ timetables.

IoT sensor and connectivity technology helps to build smarter traffic control systems which maximize energy efficiency by optimizing the timings of signals in real-time. The data gathered by cameras and sensors can be pre-processed on the device or transmitted to a traffic management hub, which is then integrated into AI-based algorithms. The results are more precise modeling and predictive analysis to reduce congestion, align public transit schedules and cut carbon emissions.

These advanced technologies are able to transform urban transportation systems. Smart e-bike/scooter sensors for instance, can detect and transmit the location of personal vehicles shared by others to make ride sharing more convenient. Micromobility payment systems however allow on-street parking and road tolls, without the requirement for accurate change.

IoT smart traffic technology could also boost the efficiency of public transportation, making it easier for commuters to track trams and buses in real-time using live tracking apps. And intelligent intersection technology can prioritize emergency vehicles to assist them get to their destination quicker This innovation has already drastically reduced the number of crashes in certain cities.