Description
Staying within regulatory Hours of Service limits is not enough to prevent dangerous fatigue risk. Monitoring for signs and symptoms of fatigue using inward-facing cameras or other driver tracking technologies can indicate when a driver is struggling with fatigue, but that may leave you with only seconds to intervene.
What’s needed is an advance warning of elevated fatigue risk, so you have time to create a plan to stay safe. That’s where the predictive AI of Fatigue Meter comes in.
What’s needed is an advance warning of elevated fatigue risk, so you have time to create a plan to stay safe. That’s where the predictive AI of Fatigue Meter comes in.
This integration delivers:
- Predictive Fatigue Risk Assessment: Near real-time HOS data from Motive powers biomathematical models to forecast fatigue levels, enabling proactive interventions well before drivers show signs of impairment.
- Enhanced Driver Safety: Integration with user, vehicle, location, logs, HOS violations, and driver performance events helps identify high-risk scenarios early, reducing accident potential and improving overall road safety.
- Streamlined Compliance and Monitoring: Automatic syncing of ELD device data and HOS details eliminates manual tracking, ensuring accurate fatigue risk insights while maintaining regulatory adherence.
- Operational Efficiency: By combining vehicle locations with performance events, fleets gain comprehensive visibility into driver states, optimizing schedules and minimizing unplanned downtime due to fatigue-related issues.
Shared data
Data
Users
Users
HOS Logs
HOS Logs
HOS Violations
HOS Violations
Driver Performance Events
Driver Performance Events
ELD Devices
ELD Devices
Vehicles
Vehicles
Vehicle Locations
Vehicle Locations
Data
Users
Users
HOS Logs
HOS Logs
HOS Violations
HOS Violations
Driver Performance Events
Driver Performance Events
ELD Devices
ELD Devices
Vehicles
Vehicles
Vehicle Locations
Vehicle Locations
Media
Additional Details
Refer to the following document for helpful user information:
