Studying Driver Behavior in Self Driving Cars Using a Driving Simulator

Undergraduate Research Opportunity Program (UROP)http://deepblue.lib.umich.edu/bitstream/2027.42/116120/1/Studying_Driver_Behavior_SelfDrivingCars.pd

The Effects of PC-Based Training on Novice Drivers\u27 Risk Awareness in a Driving Simulator

Novice drivers are almost nine times more likely to die in a crash thanmore experienced drivers. This increased risk has been found to be largely due tonovice drivers’ inability to predict the risks in the roadway ahead. A PC-basedRisk Awareness and Perception Training Program (RAPT) was developed toteach novice drivers about different categories of risky situations likely to beencountered while driving. The format was an interactive multimedia presentationwith both plan (i.e., top down) views and perspective views of roadway geometrythat illustrated generally risky scenarios along with information about the type ofrisks and the relevant areas that attention should be allocated to in order to detectthe risks. A set of novice drivers was trained with this program. The eyemovementsof the participants were then evaluated in a driving simulator todetermine whether areas of potential risk were fixated, and their performance wascompared to a separate set of untrained novice drivers. The ability of the novicedrivers to identify risks in static views improved after they completed the trainingprogram. More importantly, the trained novice drivers were significantly morelikely to correctly fixate on risk relevant areas in the simulated drivingenvironment than the untrained drivers 3-5 days after training

Effects of Behavior-Based Driver Feedback Systems on Commercial Long Haul Operator Safety

There are large economic and societal costs to commercial motor vehicle crashes. A majority of crashes are precipitated due to driver-related factors. Behavior-based systems that influence drivers with feedback from safety managers can help reduce driver-related risk factors. These systems harness the experience and knowledge of managers along with advanced driver telematics that monitor and record driver behaviors to positively influence driver safety. Safety solutions that focus on modifying driver behaviors thus hold promise for improving the safety record of commercial trucking. In this study, one such feedback system was examined by analyzing data from a commercial trucking fleet, treating the system deployment as a natural experiment. This made it possible, without experimental intervention, to compare drivers before and after system introduction, and to compare drivers that were subject to this system with those that drove with no supervisor feedback. Adverse event data were obtained for drivers in the fleet and weekly event rates were calculated taking into account driving exposure (in miles). Results show that drivers improved after receiving safety feedback and significantly more so than drivers that did not receive feedback

Pre-Frontal Cortex Activity of Male Drivers in the Presence of Passengers During Simulated Driving: An Exploratory Functional Near- Infrared Spectroscopy (fNIRS) Study

Adolescents are more likely to be involved in motor vehicle crashes in the presence of peer passengers, and risky driving behaviors of male teenagers increase in the presence of male peer passengers. There could be several mechanisms of the influence of peer passengers, however it is evident that the male teenage driver with a male peer passenger makes riskier decisions than when alone. The developing teenage brain’s activity is different from that of adults during decision-making, especially in regions associated with impulse control, response inhibition, and risk taking. This study tested the feasibility of using functional nearinfrared spectroscopy (fNIRS), a non-invasive brain imaging method that allows in vivo measurements of oxygenated and deoxygenated hemoglobin in cortical tissue, to study drivers’ brain activation during simulated driving. Cortical activity was measured in participants driving alone and in the presence of a passenger. When at a dilemma zone at a signalized intersection participants showed increased activation in regions of the left and right medial pre-frontal cortex when driving with a passenger as compared to when driving alone

Examining the effects of emotional valence and arousal on takeover performance in conditionally automated driving

In conditionally automated driving, drivers have difficulty in takeover transitions as they become increasingly decoupled from the operational level of driving. Factors influencing takeover performance, such as takeover lead time and the engagement of non-driving-related tasks, have been studied in the past. However, despite the important role emotions play in human-machine interaction and in manual driving, little is known about how emotions influence drivers’ takeover performance. This study, therefore, examined the effects of emotional valence and arousal on drivers’ takeover timeliness and quality in conditionally automated driving. We conducted a driving simulation experiment with 32 participants. Movie clips were played for emotion induction. Participants with different levels of emotional valence and arousal were required to take over control from automated driving, and their takeover time and quality were analyzed. Results indicate that positive valence led to better takeover quality in the form of a smaller maximum resulting acceleration and a smaller maximum resulting jerk. However, high arousal did not yield an advantage in takeover time. This study contributes to the literature by demonstrating how emotional valence and arousal affect takeover performance. The benefits of positive emotions carry over from manual driving to conditionally automated driving while the benefits of arousal do not

Look Who's Talking Now: Implications of AV's Explanations on Driver's Trust, AV Preference, Anxiety and Mental Workload

Explanations given by automation are often used to promote automation adoption. However, it remains unclear whether explanations promote acceptance of automated vehicles (AVs). In this study, we conducted a within-subject experiment in a driving simulator with 32 participants, using four different conditions. The four conditions included: (1) no explanation, (2) explanation given before or (3) after the AV acted and (4) the option for the driver to approve or disapprove the AV's action after hearing the explanation. We examined four AV outcomes: trust, preference for AV, anxiety and mental workload. Results suggest that explanations provided before an AV acted were associated with higher trust in and preference for the AV, but there was no difference in anxiety and workload. These results have important implications for the adoption of AVs.Comment: 42 pages, 5 figures, 3 Table

A Review of Hazard Anticipation Training Programs for Young Drivers

Poor hazard anticipation skills are a risk factor associated with high motor vehicle crash rates of young drivers. A number of programs have been developed to improve these skills. The purpose of this review was to assess the empirical literature on hazard anticipation training for young drivers

Measuring Young Drivers’ Behaviors during Complex Driving Situations

Driving behaviors of teenagers and adults in complex driving situations, viz., merges and intersections, from an 18-month longitudinal naturalistic driving study were analyzed. Variables from multiple sources were selected to create an Unsafe Driving Index to rate drivers’ behaviors in these locations. Teenagers scored lower on this index, corresponding to safer driving behaviors, than adults. However, the teenagers’ scores for the index increased across the study period. The interpretations of these findings are discussed with respect to the methodological aspects of the study and in terms of driver training and rule following