Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 69 for “"Driving behavior"”.
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Modeling human driving behavior
… models that can predict and anticipate driver behaviors on the road and give probabilities on future actions of neighboring vehicles, while being lightweight enough to be formally verifiable. This thesis starts with looking into related work and doing a short literature review on previous work …
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Integrating driving behavior modeling
A framework for integrated driving behavior modeling, based on the concepts of short-term goal and short-term plan is proposed. Drivers are assumed to conceive and perform short-term plans in order to accomplish short-term goals. This behavioral framework captures drivers' planning capabilities and …
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Characterizing Human Driving Behavior Through an Analysis of Naturalistic Driving Data
… be divided into two groups: identifying risky driving behavior prior to crashes to proactively reduce risk and automating some or all human driving tasks using intelligent vehicle systems such as Advanced Driver Assistance Systems (ADAS) and Automated Driving Systems (ADS). For successful …
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Investigating the Roles of Time Perspective and Emerging Adulthood in Predicting Driving Behavior
… of crashes attributable to the combination of driving inexperience and risky behaviors creates the necessity to identify predictors of crash likelihoods. While there are known personality variables that predict risky driving, time perspective as an additional one was suggested. Time perspective …
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Towards situation-aware driving style adaptation
… to implementing acceptable and comfortable driving characteristics for future driver assistance systems and autonomous vehicles. This dissertation explores the heterogeneity of human driving behavior, particularly emphasizing lateral driving behavior and individual driving style preferences …
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Modeling influencing factors in a microscopic traffic simulator
… data collection generally needed to estimate driving behavior models. Therefore, an approach using aggregate calibration to refine and enhance existing driving behavior models is formulated. The aggregate calibration methodology is illustrated with a case study incorporating the effects of …
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Self-Management for Safety: Impact of Self-Monitoring versus Objective Feedback
Altering driver's goals and motives for at-risk driving is likely to reduce the frequency of at-risk driving behaviors and their associated crashes and injuries. However, most driving occurs when people are alone with little supervisions or accountability. Thus, a self-management for safety (SMS) …
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Traffic characterization and road categorization
This thesis looks into the ability to collect driving data reliably and cost-effectively, characterize driving behavior, categorize roads, and finally link all together in a way to minimize the fuel consumption in cars. Using an OBDII scanner, a Smartphone, and an accelerometer, we were able to …
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Modeling driving decisions with latent plans
Driving is a complex task that includes a series of interdependent decisions. In many situations, these decisions are based on a specific plan. The plan is however unobserved or latent and only the manifestations of the plan through actions are observed. Examples include selection of a target lane …
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Smart agents
… trafc situations in a way that resembles human behavior arises from various application areas. In the context of Autonomous Driving, driver models replace human drivers, aiming at providing safe and fexible mobility solutions. It is believed that autonomous vehicles exhibiting human-like …
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Modeling Naturalistic Driver Behavior in Traffic Using Machine Learning
This research is focused on driver behavior in traffic, especially during car-following situations and safety critical events. Driving behavior is considered as a human decision process in this research which provides opportunities for an artificial driver agent simulator to learn according to …
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A comparison of driving characteristics and environmental characteristics using factor analysis and k-means clustering algorithm
… dissertation aims to classify drivers based on driving and environmental behaviors. The research determined significant factors using factor analysis, identified different driver types using k-means clustering, and studied how the same drivers map in each classification domain. The research …
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Exploring human-vehicle communication to balance transportation safety and efficiency: A naturalistic field study of pedestrian-vehicle interactions
While driving behavior is generally governed by the nature and the driving objectives of the driver, there are many situations (typically in crowded traffic conditions) where tacit communication between vehicle drivers and pedestrians govern driving behavior, significantly influencing …
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Enabling safe, smart, and sustainable Transportation Cyber-Physical Systems with Artificial Intelligence
… on microscopic traffic phenomena, specifically driving behavior. The first chapter, "Modeling and Learning Driving Behavior Part I: Merging Physical Constraints with AI in Car-following Models," introduces RACER, the Rational Artificial Intelligence Car-following model Enhanced by Reality. This …
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Towards A Comprehensive Evaluation of Driving Impairment and Assessment Technologies
Impaired driving is a persistent threat to traffic safety, with alcohol and cannabis frequently involved in motor vehicle crashes. This dissertation examines how alcohol, cannabis, and their combination influence driving behavior and performance in real-world settings, and for alcohol, in a …
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Estimating the Effect of Connected and Autonomous vehicles (CAVs) on Capacity and Level of Service at Freeway Merge Segments
… in density, which was due to the assumptions and driving behavior parameters utilized to model driving behavior for different vehicle classes.
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Understanding and Regulating Happy and Sad Emotional States in Driving Through Music
… the effects of happy and sad emotional states on driving performance and explored the utilization of auditory feedback to mitigate these effects, through two studies. Study 1 examined how induced emotions and musical interventions influence driving behavior and safety, using a 3 (emotion: neutral, …
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Ego Depletion-Induced Aberrant Driving in the Post-Work Commute
… experiences spill over to the commute and impair driving safety. To examine the daily influences of these within-person processes on driving behavior in the post-work commute, this study adopted a daily survey design, wherein participants took an online survey immediately before and after each …
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Surrogate Analysis and Calibration of Safety-Related Driver Behavior Modeling in Microscopic Traffic Simulation and Driving Simulator for Aggressive Driving
… However, it is apparent that understanding the driving behaviors on the roadway network and implementing roadway configurations accordingly is one of the great solutions. Therefore, the modeling of driving behavior would be the focus of this two-part thesis. Chapter two of this thesis will …
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Incidentalità in ambito urbano: studio del comportamento di guida in relazione alle caratteristiche geometriche dell’infrastruttura stradale
The aim of research is the study of driving behavior in relation to the geometric characteristics of the urban road infrastructure. This study allows the identification of factors which influence driving speed. The purpose is realizing mathematical models which link the driving behavior with the …
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