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Wednesday, July 12, 2023 11:42:08 AM
Sensor data analysis will correlate readings from all sensors resident in a commercial vehicle including fuel usage, emissions, locations, and vehicle health to determine patterns, anomalies, and to provide valuable real-time decision-making tools – for example is the vehicle (tires, engine, fuel usage) prepared to complete a long-haul destination under predictable weather conditions.
Route enhancement and optimization algorithms will determine safest, quickest, and most cost-effective delivery routes with real-time adjustments based on traffic conditions, weather, and load-restrictions.
Predictive Maintenance algorithms will analyze and correlate vehicle codes for possible cause-effect scenarios, such as alerting to "yet-to-fail" components that potentially could impact critical vehicle operation and driver safety.
Driver behavior data algorithms will correlate real-time face analysis with historical driver performance based on the same route, time, and weather conditions – potentially to activate real-time risk mitigation, such as blocking the accelerator or re-routing to rest areas.
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