Search for dissertations about: "traffic prediction"
Showing result 6 - 10 of 125 swedish dissertations containing the words traffic prediction.
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6. On Traffic Situation Predictions for Automated Driving of Long Vehicle Combinations
Abstract : The introduction of longer vehicle combinations for road transports than are currently allowed is an important viable option for achieving the environmental goals on transported goods in Sweden and Europe by the year 2030. This thesis addresses how driver assistance functionality for high-speed manoeuvring can be designed and realized for prospective long vehicle combinations. READ MORE
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7. Prediction as a Knowledge Representation Problem : A Case Study in Model Design
Abstract : The WITAS project aims to develop technologies to enable an Unmanned Airial Vehicle (UAV) to operate autonomously and intelligently, in applications such as traffic surveillance and remote photogrammetry. Many of the necessary control and reasoning tasks, e.g. READ MORE
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8. Analysis of Retroreflection and other Properties of Road Signs
Abstract : Road traffic signs provide regulatory, warning, guidance, and other important information to road users to prevent hazards and road accidents. Therefore, the traffic signs must be detectable, legible, and visible both in day and nighttime to fulfill their purpose. The nighttime visibility is critical to safe driving on the roads at night. READ MORE
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9. Urban Sound Planning - An attempt to bridge the gap
Abstract : Cities are constantly between transition and adaptation, where current urban development needs a consistent strategic solution capable of understanding and including the relationships between urban form, environment and urban life. Awareness of the quality of the urban environment is leading the vision on the resilience and sustainability of the built environment, highlighting the importance of a multidisciplinary urban framework. 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