Smart Technologies for Traffic Lights

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Everything is getting smarter these days including traffic signals. For the most part, unchanged for over a century, today’s American traffic lights are now undergoing machine learning. The result is an efficient more sustainable, safer and greener transport world. Traffic signal preemption, for example can help drivers to avoid a potentially life-threatening collision. A system that incorporates traffic lights and e-bike/scooter sensor can automatically time stoppages in accordance with commuters’ travel schedules.

IoT sensor and connectivity technologies help smarter traffic control systems to maximize energy efficiency by improving signal timings according to the current conditions. The data that sensors and cameras can be pre-processed by the device, or sent to an infrastructure for traffic management, where it is incorporated into AI-based algorithms. The result is a more precise and precise modeling as well as a predictive analysis that could help avoid congestion, coordinate schedules for public transit and reduce carbon emission.

These advanced technologies are able to transform urban transport systems. Smart e-bike/scooter sensors, for example, can detect and share the location of personal vehicles shared to make it easier to share rides, while micromobility payment systems allow on-street parking and road toll payments without needing correct change.

Smart traffic technology that is based on IoT can also boost the efficiency of public transport by allowing commuters to track buses and trams in real time via live tracking applications. Intelligent intersection technology could help prioritize emergency vehicles so that they reach their destination faster this is a major breakthrough that has already reduced crash rate in certain cities.