Modeling Driver Behavior and Aggressiveness Using Biobehavioral Methods – Phase II
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2020-01-01
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Edition:Final Report (December 2018-December 2019)
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Abstract:Mathematical models of car-following, lane changing, and gap acceptance are mostly descriptive in nature and lack decision making or error tolerance. Including additional driver-related information with respect to behavior and cognitive characteristics would account for these lacking parameters and incorporate a human aspect to these models. Car-following, particularly in relation to the intelligent driver model (IDM), is the primary component of this research. The major objectives of this research are to investigate how psychophysiological constructs can be modeled to replicate car-following behavior, and to correlate subjective measures of behavior with actual car-following behavior. To accomplish the objectives the following tasks were performed: thorough literature review, theorized methodological framework for model development, administered behavioral questionnaires, carried out a driving simulator study to collect relevant data, classified drivers with respect to their static and behavioral traits, and established thresholds for introducing biobehavioral parameters to the IDM. This report presents a comprehensive overview of the study along with preliminary trends observed from the collected dataset. A thorough literature review, methodological framework that was used to incorporate biobehavioral parameters into the IDM, data collection process, and preliminary analysis are included in this report. Behavioral, driving, physiological, and subjective data were collected from 90 participants. A preliminary task to establish baseline properties followed by six car-following tasks was performed on the driving simulator. Initial analysis presents the general trends observed with respect to compensatory and performance changes experienced by drivers. The next phase of the project will present modifications to the IDM based on driver classification, behavior, and driving performance.
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