Jeff Hickman, Matt Camden, & Rich Hanowski Virginia Tech - - PowerPoint PPT Presentation

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Jeff Hickman, Matt Camden, & Rich Hanowski Virginia Tech - - PowerPoint PPT Presentation

Apr 28, 2023 173 likes •345 views

A Pilot Naturalistic Driving Study on Fatigue in Winter Maintenance Operations Jeff Hickman, Matt Camden, & Rich Hanowski Virginia Tech Transportation Institute Overview of Project Sponsored by Clear Roads Goal: Feasibility of

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A Pilot Naturalistic Driving Study on Fatigue in Winter Maintenance Operations

Jeff Hickman, Matt Camden, & Rich Hanowski

Virginia Tech Transportation Institute

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Overview of Project

  • Sponsored by Clear Roads
  • Goal:

– Feasibility of naturalistic driving approach in winter emergencies

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Literature Review Summary

  • Limited information
  • Fatigue/drowsiness in trucks

– Heavy vehicle – Inconsistent, varying schedules – Long shifts

  • Fatigue in 15% to 30% of crashes
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Naturalistic Driving Methods

  • 4 VDOT operators
  • 2 instrumented trucks
  • Drove for 3 consecutive months
  • 2 drove night shift, 2 drove day shift

– 7p to 7a – 7a to 7p

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Test Vehicles

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  • No experimenter present
  • Highly capable DAS

– 5 cameras and various sensors

  • Data collected continuously
  • Detailed pre-crash/crash

Instrumentation

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How do we Measure Sleep?

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Operator Instructions

  • Work/drive as you normally drive
  • Wear watch for three months
  • $100/month
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Actigraph Data Analysis

  • Identify and mark any “bad

data” episodes,

  • Convert data into minute-by-

minute files,

  • Import all data into

actigraphy database, and

  • Implement algorithm to

identify sleep periods

Flat line in data

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Naturalistic Driving Data Reduction

  • Run triggers
  • Validate triggers
  • Classify event
  • Apply data directory
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Time of Day

2 4 6 8 10 12 14 16 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 Percent

  • f SCEs

Hour of Day

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Time on Task

2 4 6 8 10 12 14 16 18 20 1 2 3 4 5 6 7 8 9 10 11 Percent

  • f SCEs

Hours into Shift

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Fatigue (ORD > 40)

Participant # Total Number

  • f SCEs

Total Number of SCEs with ORD ≥ 40 Percent of SCEs Where Driver was Drowsy 1 52 33 63.5% 2 12 N/A N/A 3 16 0% 4 12 0% Total 92 33 35.9%

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Actigraph Data

Participant # Daily Sleep Daily Sleep during Non- winter Emergency Sleep 24 Hours Prior to a Winter Emergency Sleep during Consecutive Winter Emergency Shifts Sleep 24 Hours Prior to SCE 1 8.05 8.63 6.31 7.48 4.55 2 10.04 10.66 8.58 8.71 8.83 3 8.12 8.10 8.26 8.32 8.02 4 8.64 8.53 8.31 8.73 7.81 Average 8.71 8.98 7.87 8.31 7.30

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Discussion

  • Fatigue was evident in SCEs

– Mostly during winter emergency – Between 12:00 a.m. and 6:00 a.m. – Contributing factor in 28.3%

  • …but only for 1 driver
  • Less sleep during winter emergencies
  • Less sleep prior to a SCE
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Limitations

  • Only 4 operators
  • Driving data only during winter

emergencies

  • Specific to southwest VA
  • Mostly rural area
  • No daily logs
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Future Research

  • Naturalistic driving data showed some

interesting trends

  • Need more research

– More instrumented trucks and operators – Log book to investigate naps – Drive during winter emergencies and regular hours – Technology/equipment that increases fatigue

  • Design an FMP for winter maintenance
  • perators