HOW LONG DOES IT TAKE TO THE FIRST DROWSINESS STATE: AN EXPLORATORY ANALYSIS
Sónia Soares ▪ António Lobo ▪ Pedro Ferreira ▪ Sara Ferreira ▪ Carlos Campos Miguel Leitão ▪ Nuno Gregório ▪ Ana Bastos ▪ António Couto
24–25th October 2019 Warsaw, Poland Vision zero for traffic fatalities and serious injuries—research questions and challenges HOW LONG DOES IT TAKE TO THE FIRST DROWSINESS STATE: AN EXPLORATORY ANALYSIS
- 1. BACKGROUND: DROWSINESS IMPACTS ON ROAD SAFETY
Road crashes
- Major cause of deaths
- Strong physical injuries
- Significant economic impact
DROWSINESS accounts for 20% of all fatal and severe crashes (Kecklund, Anund et al. 2011) and resulted in approximately 72.000 crashes, 44.000 injuries, and 800 deaths in the USA in 2013 (National Highway Traffic Safety Administration, n.d.). Drowsiness analysis, detection and prediction PREVENT CRASH RISK HOW LONG DOES IT TAKE TO THE FIRST DROWSINESS STATE: AN EXPLORATORY ANALYSIS
- 1. BACKGROUND: DROWSINESS EVALUATION
1. Factors with influence on drowsiness Time-on-task, sleep deprivation, lighting conditions, environment, road geometry... 2. Drowsiness measures Biometric (physiological/neurophysiological) and subjective (self-assessment) 3. Driving performance Trajectory, compliance with traffic rules... HOW LONG DOES IT TAKE TO THE FIRST DROWSINESS STATE: AN EXPLORATORY ANALYSIS
- 1. BACKGROUND: RESEARCH WORKFLOW
SIESTA
(2017-2018)
AWAREE
(2018-2019) Naturalistic study based on “opportunistic data” provided by HealthyRoad
- Detailed driver / journey
characterization
- Monitoring of driver biometric
parameters
- Full control of experiments (driving
simulator) HOW LONG DOES IT TAKE TO THE FIRST DROWSINESS STATE: AN EXPLORATORY ANALYSIS
- 2. DATA SOURCES
“OPPORTUNISTIC” DATA DATA FROM DRIVING SIMULATION Fixed system Smartphone app Simulator app KSS Fixed dashboard infrared camera that collects images of the driver’s face and eyes Smartphone camera- based application used by the general public Smartphone camera- based application used inside a driving simulator Self-assessment of drowsiness levels in 15- min intervals during driving simulation Alerts the driver Does not alert the driver UNCONTROLLED EXPERIMENTS CONTROLLED EXPERIMENTS Objectives:
- Obtain the time till the first drowsiness alert
- Analyse the impacts of driver characteristics on drowsiness
Are the results from each dataset comparable?
HOW LONG DOES IT TAKE TO THE FIRST DROWSINESS STATE: AN EXPLORATORY ANALYSIS
4 distinct data sources
- 3. OBJECTIVES
fixed system, smartphone app, simulator app, KSS