Snowplough signal priority solution launched

Lyt’s system leverages artificial intelligence (AI) and machine learning (ML) powered by advanced algorithms and real-time data to help optimise traffic signal timings, particularly during inclement weather, ensuring efficient movement of emergency vehicles, public transportation, and now snow removal equipment.

The company’s advanced algorithms analyse real-time incoming data to make informed decisions about adjusting traffic signal timings. These algorithms consider factors such as road conditions, the urgency of emergency services, and the need for snow removal, ensuring a dynamic and adaptive response to changing situations.

“By harnessing the power of real-time data, AI/ML and advanced algorithms, municipalities can create resilient and efficient transportation systems that benefit both residents and the city’s infrastructure in the face of adverse weather conditions”

According to Lyt, Its cloud-based communication infrastructure facilitates seamless information exchange between snowploughs, traffic management centres, and signal controllers. This allows for quicker and coordinated adjustments to traffic signal timings based on the real-time needs of the city.

“As cities face the challenges posed by changing weather patterns, our NextGen technology offers a proactive and adaptive approach to managing traffic flow and ensuring public safety,” added Menard.

“By harnessing the power of real-time data, AI/ML and advanced algorithms, municipalities can create resilient and efficient transportation systems that benefit both residents and the city’s infrastructure in the face of adverse weather conditions.”