Search for dissertations about: "vehicle traffic"
Showing result 6 - 10 of 364 swedish dissertations containing the words vehicle traffic.
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6. Controlling over-actuated road vehicles during failure conditions
Abstract : The aim of electrification of chassis and driveline systems in road vehicles is to reduce the global emissions and their impact on the environment. The electrification of such systems in vehicles is enabling a whole new set of functionalities improving safety, handling and comfort for the user. READ MORE
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7. Steering Based Lateral Performance Control of Long Heavy Vehicle Combinations
Abstract : In this thesis the lateral performance of heavy vehicle combinations, specifically longer combination vehicles, is discussed. The use of longer combination vehicles is promoted by their positive impact on the traffic congestion problem, as well as their economic and environmental benefits due to reduced fuel consumption and emissions. READ MORE
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8. Traffic Situation Management for Driving Automation of Articulated Heavy Road Transports - From driver behaviour towards highway autopilot
Abstract : In this thesis traffic situation management for driving automation of long combination vehicles is discussed. The automation targets high-speed driving in multiple-lane, one-way roads. Traffic situation predictions, traffic situation manoeuvres and driving principles are studied specifically. READ MORE
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9. Vehicle-related injuries : with emphasis on fatality prevention
Abstract : According to WHO, Sweden should aim to reduce unintentional fatalities, particularly vehicle-related injuries, by 25% by the year 2000. The aim of this thesis was to analyze vehicle-related injuries and injury events, especially the contributory effects of alcohol and disease and the injury reducing capacity of helmets and airbags in order to point out some preventive measures. READ MORE
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10. Predicting Pedestrian Behavior in Urban Traffic Scenarios Using Deep Learning Methods
Abstract : Background: The statistics on global road safety show a great demand for reducing the fatalities caused by pedestrian-vehicle collisions. By utilizing artificial intelligence such as deep learning, human drivers can be supported by better driver assistance systems, and thereby the fatalities caused by human errors can be reduced. READ MORE