Truck driving fatigue statistics show how sleep loss, extended work periods, and fatigue-related driver conditions appear in crash research. The measures below span U.S. large-truck crash data, cited truck-driver studies from 1995–2005, and a 2015–2017 restart study.
Key Truck Driving Fatigue Statistics
The most broadly useful figures are:
- In the United States from April 2001 through December 2003, fatigue was coded for an estimated 18,000 large trucks, or 13% of estimated large trucks in the study.
- In the same U.S. period, fatigue had a relative risk of 8.0 in the large-truck crash-causation analysis.
- In studies cited by FMCSA from 1995–2005, about 12% of truck drivers reported under 4 hours of sleep on at least one working day in the prior week.
- In those 1995–2005 cited studies, about 20% reported under 6 hours of sleep before the current journey.
- In the same cited study group, nearly 40% of dangerous journey events were reported by drivers with under 6 hours of pre-trip sleep.
- In studies cited by FMCSA from 1995–2005, about 38% of drivers exceeded 14 hours of driving in 24 hours.
- In those studies, about 51% exceeded 14 hours of driving plus non-driving work in 24 hours.
- Literature cited by FMCSA from 1995–2005 placed fatigue-attributable crash estimates between 1% and 56% of crashes.
- A cited NTSB study classified 58% of surviving single-vehicle large-truck crashes as fatigue-related.
- In the April 2001–December 2003 U.S. crash study, inattention had a relative risk of 17.1.
- In that study, inadequate surveillance was coded for 14% of estimated trucks and had a relative risk of 9.3.
- In that study, carrier work pressure was coded for 10% of estimated trucks and had a relative risk of 4.7.
- In the 2015–2017 U.S. restart study, one comparison used a 1-night restart rest period and the other used 2 or more nights.
- In the same restart study, drivers with under 168 hours between restarts were compared with drivers having at least 168 hours between restarts.
- In the United States in 2022, 33% of large-truck drivers in fatal crashes had a driver-related factor.
- In the United States in 2022, 347 large-truck drivers in fatal crashes tested positive for a drug, equal to 6% of 5,760 drivers.
- In the United States in 2022, there were 1,097 large-truck occupant fatalities, with drivers representing 83% and passengers 17%.
Contents
- Large-truck crash scale and fatigue statistics
- Fatigue-associated crash risk and driver conditions
- Sleep loss and dangerous truck-driving events
- Driving hours, work schedules, and fatigue exposure
- Hours-of-service restart research and fatigue measurement
- Truck crash outcomes and the limits of fatigue estimates
Large-Truck Crash Scale and Fatigue Statistics
The Large Truck Crash Causation Study (LTCCS), summarized by the Federal Motor Carrier Safety Administration (FMCSA), examined crashes at 24 sites in 17 states from April 2001 through December 2003. Its figures are rounded probability-sample estimates, so they describe a national estimate rather than a census.
| LTCCS measure | Estimate | Scope |
|---|---|---|
| Serious crashes involving at least one large truck | 963 | United States, April 2001–December 2003 |
| Large trucks in sampled crashes | 1,123 | Same sample period |
| Non-large-truck vehicles | 959 | Same sample period |
| Fatalities | 249 | Same sample period |
| Injuries | 1,654 | Same sample period |
The study estimated about 120,000 fatal/injury large-truck crashes nationally and about 141,000 large trucks in those crashes. About 73% of sampled crashes involved a truck collision with another vehicle, while 77% of sampled large trucks were tractors pulling one semi-trailer.
Source: The Large Truck Crash Causation Study – Analysis Brief. The associated factors in this study are not automatically proof of causation.
Fatigue-Associated Crash Risk and Driver Conditions
The LTCCS analysis paired coded driver conditions with relative-risk estimates. These measures describe associations observed in the study population, not proof that any single condition caused a crash.
| Coded condition | Estimated trucks or share | Relative risk |
|---|---|---|
| Fatigue | 18,000; 13% | 8.0 |
| Inattention | 12,000; 9% | 17.1 |
| Inadequate surveillance | 20,000; 14% | 9.3 |
| Carrier work pressure | 16,000; 10% | 4.7 |
Fatigue was coded for an estimated 18,000 large trucks, or 13% of the estimated trucks. Inattention was coded for 12,000 trucks, or 9%, and had the highest relative-risk figure in this group at 17.1.
Inadequate surveillance was coded for 20,000 trucks, or 14%, with a relative risk of 9.3. Carrier work pressure was coded for 16,000 trucks, or 10%, with a relative risk of 4.7.
The same analysis reported other driver-related associations: traveling too fast had a relative risk of 7.7, and external distraction had a relative risk of 5.1. These results should be read as study associations rather than causal estimates.
Source: The Large Truck Crash Causation Study – Analysis Brief.
Sleep Loss and Dangerous Truck-Driving Events
FMCSA-cited studies from 1995–2005 provide self-reported or secondary-cited measures of sleep and dangerous events among truck drivers. They are not a single U.S. national estimate, and the reported figures should not be treated as directly interchangeable with LTCCS estimates.
- About 12% of drivers reported under 4 hours of sleep on at least one working day in the prior week.
- About 20% reported under 6 hours of sleep before the current journey.
- Nearly 40% of dangerous journey events were reported by drivers with under 6 hours of pre-trip sleep.
- About 38% of drivers exceeded 14 hours of driving in 24 hours.
- About 51% exceeded 14 hours of driving plus non-driving work in 24 hours.
One cited survey-based measure found that 19 of 107 interviewed crash survivors reported falling asleep while driving. Another cited NTSB study classified 58% of surviving single-vehicle large-truck crashes as fatigue-related.
The broader literature cited by FMCSA produced a wide range because definitions, samples, and methods differed. Estimates of fatigue-attributable crashes ranged from 1% to 56%, while one cited highway-truck-crash range ran from 6% to 49% fatigue involvement.
Sources: Hours of work, and perceptions of fatigue among truck drivers and CMV Driving Tips – Driver Fatigue. The Australian truck-driver study used self-reports and came from a state without heavy-haulage driving-hour restrictions.
Driving Hours, Work Schedules, and Fatigue Exposure
Fatigue exposure is connected to both driving time and the wider work period. In the FMCSA-cited studies, the distinction between driving alone and driving plus non-driving work is important: the reported share rose from 38% exceeding 14 hours of driving in 24 hours to 51% exceeding 14 hours when other work was included.
The LTCCS also categorized critical reasons in the April 2001–December 2003 U.S. sample. Driver reasons represented 87% of coded critical reasons, compared with 10% for vehicle reasons and 3% for environmental reasons.
| Critical-reason category | Share of coded critical reasons |
|---|---|
| Recognition | 28% |
| Decision | 38% |
| Driver non-performance | 12% |
| Performance | 9% |
| Driver reasons total | 87% |
| Vehicle reasons | 10% |
| Environmental reasons | 3% |
Driver non-performance was the critical reason for an estimated 9,000 trucks and represented 12% of coded critical reasons. Recognition represented 28%, decision 38%, and performance 9%.
These categories are not a fatigue-only breakdown. They provide context for how driver-related conditions were distributed in the crash-causation analysis, while the separate fatigue measure captured 13% of estimated large trucks.
Source: The Large Truck Crash Causation Study – Analysis Brief.
Hours-of-Service Restart Research and Fatigue Measurement
FMCSA’s Commercial Motor Vehicle Driver Restart Study examined work schedules and fatigue measurement among participating commercial motor vehicle drivers during 2015–2017. The page reports the study design and measurement systems, not numerical fatigue outcomes.
The study compared 5-month work schedules. One comparison used a 1-night restart rest period, while the other used 2 or more nights.
| Restart comparison | Interval between restarts |
|---|---|
| Shorter interval group | Under 168 hours |
| Longer interval group | At least 168 hours |
The design therefore distinguished drivers with under 168 hours between restarts from drivers with at least 168 hours between restarts. These thresholds describe the study groups; they are not presented here as a measured crash or fatigue effect.
Source: Commercial Motor Vehicle Driver Restart Study. The FMCSA restart page reports study design and measurement systems, not numerical fatigue outcomes.
Truck Crash Outcomes and the Limits of Fatigue Estimates
Large-truck crash outcomes provide necessary context, but they do not turn every driver-related or substance-related measure into a fatigue statistic. FMCSA’s 2022 summary reported that 33% of large-truck drivers in fatal crashes had a driver-related factor.
In the same U.S. 2022 data, 347 large-truck drivers in fatal crashes tested positive for a drug. Those positives represented 6% of 5,760 large-truck drivers in fatal crashes.
| 2022 large-truck fatal-crash outcome | Measure |
|---|---|
| Large-truck occupant fatalities | 1,097 |
| Drivers’ share of occupant fatalities | 83% |
| Passengers’ share of occupant fatalities | 17% |
| Drivers testing positive for a drug | 347 |
| Drug-positive share of 5,760 drivers | 6% |
The drug-testing figures are not fatigue measurements, and the driver-related-factor measure is broader than fatigue. They belong in the same safety picture only when their definitions and populations remain explicit.
The older LTCCS data also showed that trucks received the critical reason in 44% of two-vehicle truck/passenger crashes, while passenger vehicles received it in 56% of those crashes. This comparison concerns assignment of the critical reason in that crash subset, not the prevalence or cause of fatigue.
Source: Large Truck and Bus Crash Facts 2022 and The Large Truck Crash Causation Study – Analysis Brief.