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David Hurwitz Distracted Driving
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COLLEGE OF ENGINEERING School of Civil and Construction Engineering
The Kiewit Center for Infrastructure and Transportation
Distracted Driving
David S. Hurwitz, Ph.D. Civil and Construction Engineering
Oregon State UniversityCorvallis, OR
Learning Objectives
1. Review definitions of the Driving Task and Driving Distractions.2. Classify a wide variety of secondary tasks by the type of
distraction that they present. 3. Experience performance degradation during cognitive overload. 4. Experience influence of uniformity on visual search task
performance.5. Describe experimental approaches for aspects of transportation
human factors, such as distraction. 6. Evaluate the influence of distraction on intersection efficiency in
Oregon.
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What is the Driving Task?
• ControlKeeping the vehicle at a desirable speed and heading within the lane• GuidanceInteracting with other vehicles (following, passing, merging, etc.)• NavigationFollowing a path from origin to destination (HSM 2010)
Guidance
Control
Navigation
What is Driver Distraction?
Any activity that could divert your attention away from the primary task of driving, including but not limited to:
• Adjusting a radio, CD player, or MP3 player• Using a navigation system • Talking to passengers• Eating and drinking• Watching a video• Grooming • Reading(NHTSA 2016)
In 2014, 3,179 fatalities and 431,000 injuries in
motor vehicle crashes involving distracted driving
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There are three main types of driver distraction• Manual
Taking your hands off the wheel
There are three main types of driver distraction• Manual
Taking your hands off the wheel
• VisualTaking your eyes off the road
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There are three main types of driver distraction• Manual
Taking your hands off the wheel
• VisualTaking your eyes off the road
• CognitiveTaking your mind off driving
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Activity 1: Diagnosing Distraction Types
• The following video provides an example of a professional driver
• What types of secondary tasks (distractions) occur?
• How might we classify those distractions based on the NHTSA definition?
David Hurwitz Distracted Driving
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David Hurwitz Distracted Driving
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Activity 2: Divided Attention
• Count and record the number of passes that the basketball team in white makes.
• This is a challenging task requiring most of your attention, if you focus you should be successful.
David Hurwitz Distracted Driving
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David Hurwitz Distracted Driving
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Impacts of Driver Distraction
Impacts:• Driver response time and following distance (Strayer & Drews, 2004)
• Ability to attend to roadway hazards (Fisher et al., 2002)
Injuries and fatalities from motor vehicle crashes:• Worldwide: 3,000 fatalities / day (Peden et al., 2004)
• US: No. 1 cause of death among individuals age 4 to 34 (Subramanian, 2006)
Activity 3: Visual Search - Task A
• A grid of 190 numbers organized in a certain way will be presented.
• I will prompt you to search for a particular number.
• When you locate the number, please raise your hand.
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131 132 133 134 135 136 137 138 139 140
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121 122 123 124 125 126 127 128 129 130
131 132 133 134 135 136 137 138 139 140
141 142 143 144 145 146 147 148 149 150
151 152 153 154 155 156 157 158 159 160
161 162 163 164 165 166 167 168 169 170
171 172 173 174 175 176 177 178 179 180
181 182 183 184 185 186 187 188 189 190
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Activity 3: Visual Search - Task B
• A grid of 190 numbers organized in a certain way will be presented.
• I will prompt you to search for a particular number.
• When you locate the number, please raise your hand.
1 2 3 4 5 6 7 8 9 10
11 12 13 14 15 16 17 18 19 20
21 22 23 24 25 26 27 28 29 30
31 32 33 34 35 36 37 38 39 40
41 42 43 44 45 46 47 48 49 50
51 52 53 54 55 56 57 58 59 60
61 62 63 64 65 66 67 68 69 70
71 72 73 74 75 76 77 78 79 80
81 82 83 84 85 86 87 88 89 90
91 92 93 94 95 96 97 98 99 100
101 102 103 104 105 106 107 108 109 110
111 112 113 114 115 116 117 118 119 120
121 122 123 124 125 126 127 128 129 130
131 132 133 134 135 136 137 138 139 140
141 142 143 144 145 146 147 148 149 150
151 152 153 154 155 156 157 158 159 160
161 162 163 164 165 166 167 168 169 170
171 172 173 174 175 176 177 178 179 180
181 182 183 184 185 186 187 188 189 190
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41 42 43 44 45 46 47 48 49 50
51 52 53 54 55 56 57 58 59 60
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71 72 73 74 75 76 77 78 79 80
81 82 83 84 85 86 87 88 89 90
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111 112 113 114 115 116 117 118 119 120
121 122 123 124 125 126 127 128 129 130
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141 142 143 144 145 146 147 148 149 150
151 152 153 154 155 156 157 158 159 160
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171 172 173 174 175 176 177 178 179 180
181 182 183 184 185 186 187 188 189 190
Activity 3: Visual Search - Task C
• I will prompt you to search for a particular number.
• When you locate the number, please raise your hand.
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146 207 67 234 97 273 4 219 171 194
166 71 81 166 91 146 50 141 191 241
16 107 154 246 58 115 9 130 152 215
68 119 112 75 60 32 132 180 214 124
23 91 7 201 270 101 146 253 90 67
77 89 6 272 67 17 10 263 191 9
246 93 239 276 195 90 234 115 77 225
200 184 172 210 227 61 90 196 108 259
44 249 271 89 188 218 22 259 230 211
265 31 114 140 153 232 29 145 207 238
123 158 18 84 189 231 99 18 8 176
205 258 250 119 102 103 273 227 137 98
96 165 183 11 273 81 161 154 28 149
77 260 100 163 152 159 165 241 235 10
267 20 105 200 70 136 181 210 159 211
11 152 191 167 81 265 244 16 249 195
106 4 87 58 230 213 111 66 188 158
180 32 89 23 125 168 60 239 89 200
280 21 275 106 193 268 195 178 187 179
146 207 67 234 97 273 4 219 171 194
166 71 81 166 91 146 50 141 191 241
16 107 154 246 58 115 9 130 152 215
68 119 112 75 60 32 132 180 214 124
23 91 7 201 270 101 146 253 90 67
77 89 6 272 67 17 10 263 191 9
246 93 239 276 195 90 234 115 77 225
200 184 172 210 227 61 90 196 108 259
44 249 271 89 188 218 22 259 230 211
265 31 114 140 153 232 29 145 207 238
123 158 18 84 189 231 99 18 8 176
205 258 250 119 102 103 273 227 137 98
96 165 183 11 273 81 161 154 28 149
77 260 100 163 152 159 165 241 235 10
267 20 105 200 70 136 181 210 159 211
11 152 191 167 81 265 244 16 249 195
106 4 87 58 230 213 111 66 188 158
180 32 89 23 125 168 60 239 89 200
280 21 275 106 193 268 195 178 187 179
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Ways to Examine Driver Behavior - Lab
OSU Driving Simulator
Ways to Examine Driver Behavior:Naturalistic Driving Study (NDS)
UW Instrumented Vehicle
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Observational Study: Texting
Observational Study: Applying lipstick
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Observational Study: Tuning the radio, no seatbelt
Weekly Meetings with Parents (McGehee, et al., 2007)
• Weekly report card of safety-relevant events
• Video available for safety-relevant events
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Low and High Event Drivers (McGehee, et al., 2007)
An Oregon Example: Distraction during SRA LT Indications (Hurwitz et al., 2013)
• What is the impact of distracted driving on efficiency?– Do distraction types differ in
different regions?– Are there differences in the start-
up lost time for a queue with distracted or undistracted drivers?
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Data Reduction Procedure
Activation of Protected LT Indication
Lead Vehicle Enters Intersection
Sample Size
City, State Intersection Approach Video (Hrs) Distracted DriversUndistracted
Drivers
Unable to
Determine
Corvallis,
Oregon
Circle Blvd at 99W (WB) 5 84 519 112
Harrison Blvd at 34 (NB) 7 93 801 43
Logan,
Utah
400 N at Main(NB) 1.5 24 110 16
(SB) 1.5 159 361 0
1400 N at Main
(NB) 2 48 312 106
(SB) 2 96 512 0
(EB) 2 63 264 2
(WB) 2 74 192 0
Lawrence,
Kansas
Iowa at W 23rd St (SB) 5 87 279 20
Iowa at 31st St(SB) 2 51 249 51
(EB) 3 65 127 15
TOTAL: 33 844 3,726 365
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Distraction Type
Impact of Distraction on SLT
StateStart‐up Lost Time (seconds)
Additional Start‐Up Lost Time for Distracted Queue (seconds)
Cell Eat Talk Dash Other UnknownOregon 2.75 0.59 0.68 2.38 1.45 2.07 0.89Utah 2.22 0.58 0.66 2.33 1.42 2.03 0.87Kansas 1.69 0.54 0.63 2.19 1.34 1.91 0.82
A Distracted Queue of 5 vehicles could increase start-up lost time by
0.54 to 2.38 seconds per phase.
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An Oregon Example: Distraction Due to Drones
Determine the distances and environments in which UASs operated around roadway corridors become a distraction.
UAS as a Distraction
Cartoon in an Alaska Legislative report about the potential to be distracted by UAS.
Blaisdell, G., Skaggs, J., 2015. Drone/UAS Operator Safety Guidelines and FAQs about Privacy. UAS Legislative Task Force, 29th Alaska State Legislature. Juneau, Alaska.
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Oregon State University Driving Simulator
SimObserver and Eye Tracker
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Experimental Design
Counterbalanced Factorial Design
VARIABLE LEVEL LEVEL DESCRIPTION
Lateral offset
1 0 ft
2 25 ft
3 50 ft
Flight path
1 Takeoff
2 Scanning
3 Racing
Land use1 Rural
2 Urban
Simulated Environments
Rural Urban
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Simulated Drone Operation
Two operators and one drone vehicle (per FAA recommendations)
Data Collection
30 complete and usable datasets 16 male, 14 female Age range 18-70 years Mean age: 29.4 years
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Data Reduction
Review of total fixation duration and dwell duration on UAS
540 observations (18 exposures over 30 subjects)
Analysis: Dwell Duration
• 100 Car Naturalistic Driving Study found eyes-off-road glances of >2 seconds doubled near-crash/crash risk
S. G. Klauer, T. A. Dingus, V. L. Neale, J. D. Sudweeks, and D. J. Ramsey, “The Impact of Driver Inattention On Near‐Crash/Crash Risk: An Analysis Using the 100‐Car Naturalistic Driving Study Data,” Washington, DC, 2006.
106 glances >2 seconds
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Analysis: Dwell Duration
• Distribution of >2 second glances across independent variables
Analysis: Fixation Duration
Average Fixation duration (AFD) to the side of the road during UAS operations was compared to AFT without a drone (baseline driving)
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Analysis: Fixation Duration
Rural Comparison Estimate Std. Error t P
0ft, Takeoff - Control 1.788 0.444 4.03 <0.001*0ft, Scanning - Control 1.300 0.463 2.80 0.044*0ft, Racing - Control 1.054 0.365 2.89 0.034*25ft, Takeoff - Control 0.881 0.417 2.11 0.24525ft, Scanning - Control 0.862 0.352 2.45 0.11425ft, Racing - Control 0.150 0.256 0.54 0.99950ft, Takeoff - Control 0.811 0.357 2.27 0.17250ft, Scanning - Control 1.039 0.404 2.57 0.08350ft, Racing - Control 0.739 0.403 1.84 0.412
Summary of Dunnett’s post hoc method for the rural and urban environments
Urban Comparison Estimate Std. Error t P
0ft, Takeoff - Control 1.667 0.414 4.03 <0.001*0ft, Scanning - Control 0.548 0.358 1.53 0.5510ft, Racing - Control 0.915 0.379 2.41 0.104
25ft, Takeoff - Control 0.111 0.323 0.35 0.99925ft, Scanning - Control -0.040 0.341 -0.12 1.00025ft, Racing - Control 0.309 0.326 0.95 0.92950ft, Takeoff - Control -0.680 0.270 -2.51 0.081
50ft, Scanning - Control -0.524 0.321 -1.63 0.47550ft, Racing - Control -0.239 0.291 -0.82 0.968
*Significant at the 95% confidence level *Significant at the 95% confidence level
Conclusions
Drone operations are more distracting the closer they are to the roadway
Drone operations adjacent to the roadside (0ft. offset) cause longer off-road fixation than baseline driving
Drone operations are potentially more distracting in a rural environment
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CONTACT INFORMATION
Dr. David S. Hurwitz
Associate Professor, Transportation EngineeringSchool of Civil and Construction Engineering
Associate Director, at OSUPacific Northwest Transportation Consortium (PacTrans)
Director, Driving and Bicycling Simulator Laboratory
[email protected](office) 541-737-9242