Fleets can use predictive analytics to better manage their operations during severe weather. In this video, Brendon Hill, senior vice president of product at Lytx, explains how technology and insights can enhance driver safety in challenging environmental conditions.
The approach involves the early prediction of weather conditions to inform operational decisions, such as routing and scheduling. Real-time alerts can warn drivers of impending adverse weather situations, allowing them to adjust their behavior. Also, AI technology in vehicles can assist drivers by providing real-time road condition updates and safety tips, especially in low-traction or low-visibility conditions.
In this video, you will hear about:
How fleets should develop operational forecasting capability that will give leadership and operations teams advanced weather-driven routing and scheduling recommendations to inform dispatch and site decisions.
Why fleets should implement in-vehicle geofenced weather warnings that can notify drivers when they are approaching areas with adverse conditions, such as a blizzard, tornado, dust storm, or other situations.
How fleets can build real-time AI driver-assist features that detect road conditions (wet, snowy, low visibility) and provide actionable nudges on speed and following distance for drivers operating in adverse weather.