Management of driving shifts based on fatigue risk
When and how shifts are assigned directly affects the risk of microsleep. With Fleets’ data, Oraigo helps recognise the most critical time bands and plan safer shifts.
Risk by shift and time band
Where and when fatigue risk concentrates. Not by gut feeling, but on real data.
Manager · HSE · Operations
Whoever decides how to distribute shifts and rest finally has a data basis to decide on.
Prevention upstream
Acting on planning reduces the risk before the driver even climbs into the cab.
Why shift planning affects fatigue
Not all shifts carry the same risk. Without objective data, decisions rest on habit and intuition.
Time bands are not equal
Night shifts and those straddling dawn carry a structurally higher fatigue risk than others.
Accumulation counts
The sequence of shifts, beyond the single time, determines how much fatigue builds up over time, and when it becomes dangerous.
The data is often missing
Without an objective measure of risk, planning rests on impressions rather than evidence.
Fatigue risk becomes a planable data point
The system turns fatigue risk into information useful to whoever organises the work.
A reading of risk over time
Fleets shows in which time bands and conditions fatigue risk concentrates, at fleet level, updated over time, not an isolated snapshot.
Data-based decisions
On this basis it’s possible to distribute shifts and rest more safely, rather than by intuition. The decisions stay with the manager, the data is provided by Fleets.
More informed planning, upstream prevention
Knowing where risk concentrates helps organise shifts while reducing exposure, before the problem appears.
More informed planning
Knowing where risk concentrates helps organise shifts while reducing the fleet’s overall exposure.
Upstream prevention
Acting on planning prevents fatigue before the driver even climbs into the cab.
More balanced workloads
It avoids the same drivers repeatedly piling up the toughest shifts, visible at a glance on Fleets.
Reports ready to share
Fleets’ data turns into reports for safety committees and management, with no manual reworking.
Tecnologia validata, non una promessa
Sullo stesso principio validato su oltre 100.000 minuti di guida reale e pubblicato sul Oraigo White Paper.
EEG™
Patented technology developed from research
100K+
Minutes of real driving analysed for validation
800+
Potential accidents avoided in field use
Oraigo White Paper
Internal study on microsleep detection
Keep exploring
This use case connects to other themes in the Oraigo ecosystem.
Related pages
Try Oraigo with a free pilot
A period agreed together in which Aigo, Go and Fleets work on your vehicles, with no commitment. At the end we assess the results together, so the decision is based on real data, not on a promise.
Frequently asked questions
Does Fleets plan the shifts for me?
No. It provides the data on fatigue risk; the planning decisions stay with the manager.
Is data-driven driving-shift management complex?
The dashboard is designed to be readable: the goal is to make fatigue risk immediately understandable.
What's the difference from night driving as a use case?
Night driving is about detection during the shift; shift management is about upstream planning, based on the data.