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Shiny-side Up:
Advanced Crash Avoidance Technologies
That Can Reduce Heavy Truck Crashes
Daniel Blower
Traffic Safety Conference
Corpus Christi, Texas
June 9, 2015
Acknowledgements
 Sources:
• Hickman, J., F. Guo, et al. (2013). Onboard Safety Systems Effectiveness
Evaluation Final Report. Washington, DC, Federal Motor Carrier Safety
Administration: 267.
• Houser, A., D. Murray, et al. (2009). Analysis of Benefits and Costs of Lane
Departure Warning Systems for the Trucking Industry. Washington, DC: 75.
• Woodrooffe, J., D. Blower, et al. (2009). Safety Benefits of Stability Control
Systems for Tractor-Semitrailers. Washington, DC.
• Woodrooffe, J., D. Blower, et al. (2012). Performance Characterization and
Safety Effectiveness of Collision Mitigation Braking and Forward Collision
Warning Systems for Commercial Vehicles. Ann Arbor, Michigan, University of
Michigan Transportation Research Institute: 138.
 John Woodrooffe, Scott Bogard at UMTRI
Dimensions of Heavy Truck Crash
0.0
0.5
1.0
1.5
2.0
2.5
3.0
0
500
1,000
1,500
2,000
2,500
3,000
3,500
4,000
4,500
5,000
2007 2008 2009 2010 2011 2012 2013
Involvementrateper100MVMT
Fataltruckinvolvements
Fatal Rate per 100M Car rate
Fatal truck involvements
Truck crash rate
(right axis) Passenger car crash rate
(right axis)
Heavy truck crashes
 3,800 fatal crashes annually.
 3,900 deaths annually; 100,000 injuries.
 Truck crashes account for 13% of all traffic
fatalities.
 Fatal crash involvement rate by VMT has
converged with passenger cars.
 Crash avoidance technologies can drive the
numbers down more.
Key Crash Avoidance Technologies
 Electronic stability control (ESC)
 Roll stability control (RSC)
 Forward Collision Avoidance and Mitigation
Systems (F-CAM)
 Lane departure warning (LDW)
Electronic Stability Control
&
Roll Stability Control
Woodrooffe, J., D. Blower, et al. (2009). Safety Benefits of Stability Control Systems for
Tractor-Semitrailers. Washington, DC.
Electronic Stability Control (ESC)
Roll Stability Control (RSC)
Description of the technologies
• Both ESC and RSC respond to lateral acceleration
• ESC senses divergent yaw rate & lateral acceleration
• ESC & RSC have mass-related intervention strategies
• Assess vehicle mass using engine torque and
acceleration
• Braking strategies:
• De-throttle engine
• Engage engine retarder
• Apply foundation brakes
• ESC-selective wheel braking
0 2 4 6 8 10 12 14 16 18
40
45
50
55
60
65
70
75
80
85
Vehicle Speed
time, in second
vehiclespeed,inkm/hr
ABS
RSC
ESC
ESC engages earlier to control speed
RSC helps maintain stability in curves
ESC adds control
on slick roads as well
Fitting the technologies to all tractor semitrailers
Crash reduction from
RSC
• 3,489 crashes
• 106 fatalities
• 4,384 injuries
Crash reduction from
ESC
• 4,659 crashes
• 126 fatalities
• 5,909 injuries
Fleet data show reduction in probability of roll by 25%.
Forward Collision Avoidance and
Mitigation Systems (F-CAM)
Woodrooffe, J., D. Blower, et al. (2012). Performance Characterization and Safety Effectiveness of
Collision Mitigation Braking and Forward Collision Warning Systems for Commercial Vehicles. Ann Arbor,
Michigan, University of Michigan Transportation Research Institute: 138.
F-CAM Intervention Sequence
13
t0
Object
tracked
Collision
warning:
Visual and
Audible
Collision
warning:
Haptical (short
brake pulse)
Automatic
braking for
collision
prevention or
mitigation
Avoidance
maneuver not
possible
timet2 t3 t4
Engine Torque Limitation
Brake Activation
Potential rear
end collision
detected
Hard braking
required to
prevent collision
t1
Warning Tone and Lamp
System Reactions
Crash
prevented
or
mitigated
 Forward Collision Warning + Autonomous Braking
 Sensor range up to 100m
 FCW: audible, haptic warning
 Braking authority:
Generation
Vehicle detected
moving
Vehicle never
detected moving
Current 0.35 g No response.
Next 0.6 g 0.3 g
Future 0.6 g 0.6 g
System characteristics
Target Crash Types
Rear-end, truck striking
 Current generation:
• Lead vehicle stopped at impact, but seen moving.
• Lead vehicle slower, steady speed.
• Lead vehicle decelerating.
• Lead vehicle cut-in.
 Next, future generation:
• Lead vehicle stopped at impact, regardless whether
ever detected as moving.
15
F-CAM system test
 Run to measure
system
characteristics.
 No FCW issued.
 Sensor detects at
about 80m.
 Automatic braking
at 0.35 g.
 Driver brakes after
impact.
F-CAM test of next generation
 Test of next
generation.
 Triggers on
stopped objects.
 Brakes up to
0.6g.
 First run is at 40
mph.
 Second run is at
50 mph.
Estimated reduction in
rear-end truck-striking crashes by severity
 Analysis of fleet data showed F-CAM systems reduced truck-striking
rear-end crashes by about one-third.
18
Generation Fatal Injury No injury
Current 24% 25% 9%
Next 44% 47% 20%
Future 57% 54% 29%
Lane departure warning
Hickman, J., F. Guo, et al. (2013). Onboard Safety Systems Effectiveness Evaluation Final
Report. Washington, DC, Federal Motor Carrier Safety Administration: 267.
Houser, A., D. Murray, et al. (2009). Analysis of Benefits and Costs of Lane Departure
Warning Systems for the Trucking Industry. Washington, DC: 75.
System characteristics
 Detect lane markings using windshield mounted
camera.
• Challenges: worn, missing lane lines; glare at night,
especially on wet roads.
 Monitor truck position in lane.
• Lateral position.
• Speed.
• Heading.
• Compute time-to-lane crossing
 Detect lane crossing.
 Issue audible/haptic warning, if turn signal not
activated.
 Active above set speeds (25-35 mph).
Target crash types
 Single-vehicle road departure, followed by
untripped rollover.
 Single-vehicle road departure, collision with fixed
object.
 Lane departure, same-direction sideswipes.
 Lane departure, opposite direction sideswipes
and head-on.
Lane change crash example only
(Crash would not have been affected by LDW)
 Truck signals, so
lane change
warning would
have been
suppressed.
 Injuries in crash
were moderate.
Estimated crash reductions
 About 48% for relevant crash types.
 Target crash types are about 10% of all tractor-
semitrailer crashes.
 Net crash reduction is about 4.6% of all tractor-
semitrailer crashes.
 Estimates are from deployments in 14 fleets.
Conclusions
 Advanced crash avoidance technologies can
significant reduce heavy truck crash involvement.
• ESC: 31% of relevant rollover & loss of control.
• F-CAM: 37% of relevant forward collisions.
• LDW: 48% of relevant lane/road departures.
 Need more validation in actual deployment.
 Current rulemaking by NHTSA on ESC.
 Other technologies voluntarily adopted by safety-
oriented carriers.
Thank you!
Questions?
dfblower@umich.edu

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Shiny-side Up: Advanced Technologies That Can Reduce Heavy Truck Crashes

  • 1. Shiny-side Up: Advanced Crash Avoidance Technologies That Can Reduce Heavy Truck Crashes Daniel Blower Traffic Safety Conference Corpus Christi, Texas June 9, 2015
  • 2. Acknowledgements  Sources: • Hickman, J., F. Guo, et al. (2013). Onboard Safety Systems Effectiveness Evaluation Final Report. Washington, DC, Federal Motor Carrier Safety Administration: 267. • Houser, A., D. Murray, et al. (2009). Analysis of Benefits and Costs of Lane Departure Warning Systems for the Trucking Industry. Washington, DC: 75. • Woodrooffe, J., D. Blower, et al. (2009). Safety Benefits of Stability Control Systems for Tractor-Semitrailers. Washington, DC. • Woodrooffe, J., D. Blower, et al. (2012). Performance Characterization and Safety Effectiveness of Collision Mitigation Braking and Forward Collision Warning Systems for Commercial Vehicles. Ann Arbor, Michigan, University of Michigan Transportation Research Institute: 138.  John Woodrooffe, Scott Bogard at UMTRI
  • 3. Dimensions of Heavy Truck Crash 0.0 0.5 1.0 1.5 2.0 2.5 3.0 0 500 1,000 1,500 2,000 2,500 3,000 3,500 4,000 4,500 5,000 2007 2008 2009 2010 2011 2012 2013 Involvementrateper100MVMT Fataltruckinvolvements Fatal Rate per 100M Car rate Fatal truck involvements Truck crash rate (right axis) Passenger car crash rate (right axis)
  • 4. Heavy truck crashes  3,800 fatal crashes annually.  3,900 deaths annually; 100,000 injuries.  Truck crashes account for 13% of all traffic fatalities.  Fatal crash involvement rate by VMT has converged with passenger cars.  Crash avoidance technologies can drive the numbers down more.
  • 5. Key Crash Avoidance Technologies  Electronic stability control (ESC)  Roll stability control (RSC)  Forward Collision Avoidance and Mitigation Systems (F-CAM)  Lane departure warning (LDW)
  • 6. Electronic Stability Control & Roll Stability Control Woodrooffe, J., D. Blower, et al. (2009). Safety Benefits of Stability Control Systems for Tractor-Semitrailers. Washington, DC.
  • 7. Electronic Stability Control (ESC) Roll Stability Control (RSC) Description of the technologies • Both ESC and RSC respond to lateral acceleration • ESC senses divergent yaw rate & lateral acceleration • ESC & RSC have mass-related intervention strategies • Assess vehicle mass using engine torque and acceleration • Braking strategies: • De-throttle engine • Engage engine retarder • Apply foundation brakes • ESC-selective wheel braking
  • 8. 0 2 4 6 8 10 12 14 16 18 40 45 50 55 60 65 70 75 80 85 Vehicle Speed time, in second vehiclespeed,inkm/hr ABS RSC ESC ESC engages earlier to control speed
  • 9. RSC helps maintain stability in curves
  • 10. ESC adds control on slick roads as well
  • 11. Fitting the technologies to all tractor semitrailers Crash reduction from RSC • 3,489 crashes • 106 fatalities • 4,384 injuries Crash reduction from ESC • 4,659 crashes • 126 fatalities • 5,909 injuries Fleet data show reduction in probability of roll by 25%.
  • 12. Forward Collision Avoidance and Mitigation Systems (F-CAM) Woodrooffe, J., D. Blower, et al. (2012). Performance Characterization and Safety Effectiveness of Collision Mitigation Braking and Forward Collision Warning Systems for Commercial Vehicles. Ann Arbor, Michigan, University of Michigan Transportation Research Institute: 138.
  • 13. F-CAM Intervention Sequence 13 t0 Object tracked Collision warning: Visual and Audible Collision warning: Haptical (short brake pulse) Automatic braking for collision prevention or mitigation Avoidance maneuver not possible timet2 t3 t4 Engine Torque Limitation Brake Activation Potential rear end collision detected Hard braking required to prevent collision t1 Warning Tone and Lamp System Reactions Crash prevented or mitigated
  • 14.  Forward Collision Warning + Autonomous Braking  Sensor range up to 100m  FCW: audible, haptic warning  Braking authority: Generation Vehicle detected moving Vehicle never detected moving Current 0.35 g No response. Next 0.6 g 0.3 g Future 0.6 g 0.6 g System characteristics
  • 15. Target Crash Types Rear-end, truck striking  Current generation: • Lead vehicle stopped at impact, but seen moving. • Lead vehicle slower, steady speed. • Lead vehicle decelerating. • Lead vehicle cut-in.  Next, future generation: • Lead vehicle stopped at impact, regardless whether ever detected as moving. 15
  • 16. F-CAM system test  Run to measure system characteristics.  No FCW issued.  Sensor detects at about 80m.  Automatic braking at 0.35 g.  Driver brakes after impact.
  • 17. F-CAM test of next generation  Test of next generation.  Triggers on stopped objects.  Brakes up to 0.6g.  First run is at 40 mph.  Second run is at 50 mph.
  • 18. Estimated reduction in rear-end truck-striking crashes by severity  Analysis of fleet data showed F-CAM systems reduced truck-striking rear-end crashes by about one-third. 18 Generation Fatal Injury No injury Current 24% 25% 9% Next 44% 47% 20% Future 57% 54% 29%
  • 19. Lane departure warning Hickman, J., F. Guo, et al. (2013). Onboard Safety Systems Effectiveness Evaluation Final Report. Washington, DC, Federal Motor Carrier Safety Administration: 267. Houser, A., D. Murray, et al. (2009). Analysis of Benefits and Costs of Lane Departure Warning Systems for the Trucking Industry. Washington, DC: 75.
  • 20. System characteristics  Detect lane markings using windshield mounted camera. • Challenges: worn, missing lane lines; glare at night, especially on wet roads.  Monitor truck position in lane. • Lateral position. • Speed. • Heading. • Compute time-to-lane crossing  Detect lane crossing.  Issue audible/haptic warning, if turn signal not activated.  Active above set speeds (25-35 mph).
  • 21. Target crash types  Single-vehicle road departure, followed by untripped rollover.  Single-vehicle road departure, collision with fixed object.  Lane departure, same-direction sideswipes.  Lane departure, opposite direction sideswipes and head-on.
  • 22. Lane change crash example only (Crash would not have been affected by LDW)  Truck signals, so lane change warning would have been suppressed.  Injuries in crash were moderate.
  • 23. Estimated crash reductions  About 48% for relevant crash types.  Target crash types are about 10% of all tractor- semitrailer crashes.  Net crash reduction is about 4.6% of all tractor- semitrailer crashes.  Estimates are from deployments in 14 fleets.
  • 24. Conclusions  Advanced crash avoidance technologies can significant reduce heavy truck crash involvement. • ESC: 31% of relevant rollover & loss of control. • F-CAM: 37% of relevant forward collisions. • LDW: 48% of relevant lane/road departures.  Need more validation in actual deployment.  Current rulemaking by NHTSA on ESC.  Other technologies voluntarily adopted by safety- oriented carriers.