Search for dissertations about: "Naturalistic driving study"
Showing result 1 - 5 of 10 swedish dissertations containing the words Naturalistic driving study.
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1. Real World Data on Driver Behaviour in Accidents and Incidents: Evaluating data collection and analysis methods for car safety development
Abstract : Real world data is important for safety development within the road transportation system. For car safety development in particular, methods to collect and analyse real world data on driver behaviour from normal driving, incidents and accidents are needed to address safety in driving. READ MORE
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2. Drivers’ response to attentional demand in automated driving
Abstract : Vehicle automation can make driving safer; it can compensate for human impairments that are recognized as the leading cause of crashes. Vehicle automation has become a central topic in transportation and human factors research. READ MORE
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3. Performance Assessment of Long Combination Vehicles using Naturalistic Driving Data
Abstract : The deployment of long combination vehicles (LCVs) is currently in progress in Sweden. LCV refers to heavy vehicles that are longer than 25.25 m, which is the conventional length limit in Swedish regulations. LCVs reduce operational costs, improve fuel efficiency and reduce CO2 emission per ton-km. READ MORE
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4. Perception Creates Reality - Factors influencing the driver’s perception and consequent understanding of Driving Automation Systems
Abstract : The automotive industry is rapidly developing driving automation systems (DAS) with the aim of supporting drivers through automation of longitudinal and lateral vehicle control. As vehicle complexity increases, drivers’ understanding of their responsibility and their vehicles’ capabilities and limitations becomes significantly more important. READ MORE
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5. Design for Perception - A human-centric approach to the design of driving automation systems based on the driver’s perception
Abstract : The automotive industry is rapidly developing driving automation systems (DAS) with the aim of supporting drivers by means of the automation of longitudinal and lateral vehicle control. As vehicle complexity increases and update-over-the-air features are enabling continuous development of vehicle software and functionality, the driver’s understanding of their responsibility and their vehicle’s capabilities and limitations is becoming significantly more important. READ MORE