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Chia Wei Ensar Becic Christopher Edwards HumanFIRST Program Department of Engineering University of Minnesota
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According to the National Highway Traffic Safety Administration: One pedestrian fatality event occurred every 2 hours Someone was injured by a vehicle every 9 minutes Among fatal events - 24% occurred at intersections Greater than 40 percent of all fatalities were from pedestrian collisions with transit buses
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Left-turns had the highest proportion of pedestrian collisions Buses making left-turns are 4 times more likely to collide with pedestrians compared to drivers who proceed straight through an intersection
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Mental workload increases during turning maneuvers at intersections Making a left turn at an intersection requires a greater number of subtasks Bus drivers complete a number of tasks that drivers of other vehicles do not
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First Step Examine the cause of pedestrian and bus collision Metro Transit is creating a safety culture which promotes a zero collision policy Implemented a Look-and-See campaign to remind drivers to visually scan their surroundings prior to making a left-turn maneuver
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Overall Goal Develop a clear picture of various subtasks that bus drivers complete during a left-turn maneuver Identify potential solutions for the left turn bus- pedestrian conflicts in order to reduce the frequency of collisions A pilot study examining the efficacy of the proposed solutions
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Create a detailed analysis of various tasks that bus drivers complete when making a left turn Exogenous Endogenous A better understanding of these tasks will facilitate the development of concepts for support tools that help decrease left-turn bus– pedestrian collisions
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Study Design: Interviews Three interviews were completed Each interview included two bus drivers or driver trainers Participants were asked to describe all tasks that they perform when making a left turn
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As a tool during the interview, several large posters showing intersections were provided for drivers to explain their driving tasks
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All of the subtasks and mental processes were classified into these categories Visual Broad visual inspection: observe big picture Focused visual search: search traffic lights and mirrors Working memory Monitoring a bicyclist Executive Determining the gap of an oncoming traffic Motor tasks Departing from a previous stop or turning at an intersection Unplanned events
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Other Factors: Fatigue and stress at work Maintain strict schedules Deal with the passengers Operate the bus safely even in an inclement weather or bad traffic Visibility: Thunderstorms, blizzard or sun glare Road Conditions: Large snow banks during winter
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Bus drivers engage in a large number of different subtasks during left-turns Solutions Aiding drivers in performing a particular subtask Completely removing a need to perform a particular subtask
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Technologically Based Solution Aids in the performance of one task Track the movement of targets of interest and alert the driver if a target becomes an imminent danger
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Infrastructure Based Solution Removing a need for performing a particular subtask A protective left-turn for buses reduce the perceptual and cognitive load.
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Environmentally-Based Support Examine the impact of stress on bus drivers performance and frequency of collisions Poor stress coping = greater driving performance cost in challenging driving conditions
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Pedestrian Solution Bus drivers represent only one side of the pedestrian/bus collision Warning alert for a pedestrian Alerting both parties of a collision may improve the odds of collision avoidance?
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Pilot Simulator Study Objective Examine the potential efficacy of the proposed solutions
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Pilot Simulator Study Technology Based Solution Pedestrian Detection System (PDS) Infrastructure Based Solution Left Turn Signal Environmentally Based Support Tool Two Driving Conditions
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Two Driving Condition Groups Normal Driving Condition Driving in clear visibility condition Challenging Driving Condition Driving in foggy condition A noisy background Limited time in which to complete the drive
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Driving Simulator
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Total of 12 drives 4 drives included a potential collision scenario
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Response to potential collision Accuracy of Response The time it took a driver to reduce their velocity by 25%
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Accuracy of Response
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Pedestrian Detection Systems Green Arrow – previously shown benefit, but potential hidden cost Coping with stressful driving conditions Alerting pedestrians Dumb noise Dynamic alert
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Questions?
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