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.
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Showing 1 to 20 of 26 for “"Naturalistic Driving Study"”.
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Modeling Driving Risk Using Naturalistic Driving Study Data
… contemporary statistical modeling techniques on driving risk research on Naturalistic Driving Study data. The dissertation includes 5 chapters. In Chapter 1, I introduced the backgrounds of traffic safety research and naturalistic driving study. In Chapter 2, the state-of-practice statistical …
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Understanding Fixed Object Crashes with SHRP2 Naturalistic Driving Study Data
… relied on police-reported accidents data, this study integrated the SHRP2 NDS and RID data for analyses, which fully depicted the prior to, during, and after crash scenarios. A total of 1,639 crash, near-crash events, and 1,050 baseline events were acquired. Three analysis methods: logistic …
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A Naturalistic Driving Study for Lane Change Detection and Personalization
Driver Assistance and Autonomous Driving features are becoming nearly ubiquitous in new vehicles. The intent of the Driver Assistant features is to assist the driver in making safer decisions. The intent of Autonomous Driving features is to execute vehicle maneuvers, without human intervention, in …
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The Impact of Sleep Disorders on Driving Safety - Findings from the SHRP2 Naturalistic Driving Study
This study is the first examination on the association between seven types of sleep disorder and driving risk using large-scale naturalistic driving study data involving more than 3,400 participants. Regression analyses revealed that females with restless leg syndrome or sleep apnea and drivers …
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Behavioral Adaptation to Driving Automation Systems: Guidance for Consumer Education
… have postulated that the implementation of driving automation systems could reduce the prevalence of driver errors, or at least mitigate the severity of their consequences. While driving automation systems are becoming increasingly common on new vehicles, drivers seem to know very little …
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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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Evaluating Time-varying Effect in Single-type and Multi-type Semi-parametric Recurrent Event Models
… question of evaluating the influence of crash on driving risk and driver behavior. The methodologies developed, however, are general and can be applied to other fields. Four alternative approaches based on various data settings are elaborated and applied to 100-Car Naturalistic Driving Study in …
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Traffic impact assessment and mitigation strategies for disruptions
… prediction models were developed. Third, using naturalistic driving study data, classification algorithms categorized work zone events into crashes, nearcrashes, and baseline conditions. In the second half of the dissertation, the focus shifts to the effect of emergency on evacuation. Two …
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The Effects of Cognitive Executive Load on Driving Crashes and Near-Crashes
Previous naturalistic driving studies have shown that visual and manual secondary tasks increase driving crash risk. With the increasing use of infotainment systems in vehicles, secondary tasks requiring cognitive executive demand may increase crash risk, especially for young and older drivers. …
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From Crash to Care: A Road Towards Improved Safety and Efficiency of Emergency Medical Response
… System database, an existing light vehicle naturalistic driving study, and a pilot ambulance-based naturalistic driving study, this dissertation provides a comprehensive investigation into EMS roadway interactions. The findings of these investigations confirmed that traffic interactions are …
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Post-Processing Method for Determining Peaks in Noisy Strain Gauge Data with a Low Sampling Frequency
… Institute is recognized for being a pioneer in naturalistic driving studies. These studies determine driving behavior, and its correlation to safety critical events, by equipping participant's vehicles with data acquisition systems and recording them for a period of time. The driver's habits and …
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Naturalistic Driving Data for the Analysis of Car-Following Models
The driver-specific data from a naturalistic driving study provides car-following events in real-world driving situations, while additionally providing a wealth of information about the participating drivers. Reducing a naturalistic database into finite car-following events requires significant …
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Fleetwide Models of Lane Departure Warning and Prevention Systems in the United States
… and road curvature. Consideration of the dynamic driving behaviors observed in the naturalistic driving study (NDS) data is important to avoid LDW false alarms and driver annoyance. Departure characteristics computed in normal driving were much less severe than the departure parameters measured in …
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Improving E-Scooter Safety: Deployment Policy Recommendations, Design Optimization, and Training Development
Electric scooters, or e-scooters, have become an increasingly popular form of transportation over the recent years. However, there have been numerous reports of safety concerns, crashes, and injuries for e-scooter riders and other road users as a result of e-scooter misuse. Until recently, very …
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Assessing Driver Behavior in the Context of Driving Environment
… data that does not capture the dynamic nature of driving tasks. The widespread use of naturalistic driving data in recent years allows researchers the capability to capture real-time driver behavior and be able to infer an individual’s driving style. However, current studies focus largely on …
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The development of a holistic approach to modeling driver behavior : accounting for driver heterogeneity in car-following models
… Thus, methodologies to adequately capture naturalistic behavioral heterogeneity are largely missing from the literature. For this dissertation, a sample from the second Strategic Highway Research Program Naturalistic Driving Study was analyzed. This sample contains 665 trips completed on …
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Assessing the Effects of Driving Inattention on Relative Crash Risk
… feasible to conduct unobtrusive large-scale naturalistic driving studies as the costs and size of computer equipment and sensor technology have both dramatically decreased. A large-scale naturalistic driving study was conducted using 100 instrumented vehicles (80 privately-owned and 20 leased …
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Using naturalistic driving data to improve the understanding of drivers' self-regulatory behavior when engaged in cell phone tasks
… Verhalten basierend auf Daten aus sogenannten Naturalistic Driving Studies zu untersuchen und damit das Verständnis über ein Themengebiet zu verbessern, welches lange Zeit vernachlässigt wurde. Der Fokus lag dabei auf mobiltelefonbezogenen Aufgaben. Die Dissertation besteht aus fünf empirischen …
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A Context Aware Classification System for Monitoring Driver’s Distraction Levels
… the safety measures regarding developing self-driving futuristic cars is a concern for decision-makers, civil society, consumer groups, and manufacturers. The researchers are trying to thoroughly test and simulate various driving contexts to make these cars fully secure for road users. …
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