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Showing 1 to 13 of 13 for “"naturalistic driving data"”.
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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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Visual Clutter Study for Pedestrian Using Large Scale Naturalistic Driving Data
… appearance. Recognition of pedestrians during driving is a complex cognitive activity. Visual clutter analysis can be used to study the factors that affect human visual search efficiency and help design advanced driver assistant system for better decision making and user experience. In this …
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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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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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Driver Behavior in Car Following - The Implications for Forward Collision Avoidance
… the system. A better understanding of normal driving behavior can help designers predict when drivers would normally take avoidance action in different situations, and customize the timing of FCAS interventions accordingly. The overall research object of this dissertation was to characterize …
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Modeling Naturalistic Driver Behavior in Traffic Using Machine Learning
… 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 naturalistic driving data. This thesis presents two mechine learning …
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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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Crash Risk and Mobile Device Use Based on Fatigue and Drowsiness Factors in Truck Drivers
… mobile device use (MDU), fatigue, through driving time and time on duty, and drowsiness, through time of day and amount of sleep, for commercial motor vehicle drivers. A re-analysis of naturalistic driving data was used to obtain information about the factors, MDU, safety-critical events …
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Evaluation of Driver Performance While Making Unprotected Intersection Turns Utilizing Naturalistic Data Integration Methods
… to study driver behavior at intersections, in a naturalistic paradigm. A data-mining algorithm was used to aggregate the data from two different naturalistic databases to obtain instances of unprotected turns at the same intersection. Several dependent variables were analyzed which included …
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Data-Driven Planning for Short-Haul Heavy-Duty Electric Vehicles: Insights from Naturalistic Driving Patterns
… having access to a variety of empirical data is crucial for fleet operators to make informed decisions about the viability of HDBEVs. Naturalistic driving data for diesel Class 8 trucks, which is collected on the basis that drivers should ideally behave as they would under current driving …
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Assessing Driver Behavior in the Context of Driving Environment
… the related safety concerns have primarily used 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 …
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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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Towards Developing an Integrated Microscopic Traffic Simulation Model for Large Road Networks
… errors will be measured based on empirical, naturalistic and synthetically generated trajectories. It is also evaluated to which extent driver heterogeneity and randomness may be compensated with discrete components to simplify modelling and increase computational efficiency. Based on the …