United States Department of Transportation
i
Modeling Driver Behavior and Aggressiveness Using Biobehavioral Methods –Phase III
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2022-02-18
[PDF-10.43 MB]
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Edition:Draft Final Report (January 2020- December 2021)
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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 these 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, grouped drivers with respect to their static and behavioral traits, established thresholds for introducing biobehavioral parameters to the IDM, and calibrated and validated the IDM based on driver groups as well as based on the introduction of the biobehavioral parameters. This report builds on the previous project phases and provides a detailed description of the data analysis and model development, in addition to the thorough literature review, methodological framework, and data collection process. Behavioral, driving, physiological, and subjective data were collected from 90 participants, while performing six car-following tasks on the driving simulator. Analysis of trends observed with respect to compensatory and performance changes experienced by drivers is presented. A new model named b-IDM is proposed. This model includes modifications to the IDM based on driver classification, behavior, and driving performance.
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