Sökning: "Transport mode detection"
Visar resultat 1 - 5 av 18 avhandlingar innehållade orden Transport mode detection.
1. Human mobility behavior : Transport mode detection by GPS data
Sammanfattning : GPS tracking data are widely used to understand human travel behavior and to evaluate the impact of travel. A major advantage with the usage of GPS tracking devices for collecting data is that it enables the researcher to collect large amounts of highly accurate and detailed human mobility data. LÄS MER
2. A Multi-Dimensional Approach to Human Mobility and Transportation Mode Detection Using GPS Data
Sammanfattning : GPS tracking data is an essential resource for analyzing human travel patterns and evaluating the effects on transportation systems. The primary challenge, however, is to accurately identify the modes of transportation within unlabeled GPS data. These approaches range from simple rule-based systems to advanced machine-learning techniques. LÄS MER
3. Transport Modes in Nanotube-Vesicle Networks
Sammanfattning : Methods for construction of surface-immobilized microscopic networks of phospholipid bilayer vesicles (3-50 µm in diameter) interconnected by lipid tubes (30-150 nm in radius), have previously been developed. The networks have controlled connectivity and are well-defined with regard to container size, content, angle between nanotube extensions, and nanotube length. LÄS MER
4. Efficient Map Matching and Discovery of Frequent and Dominant Movement Patterns in GPS Trajectory Data
Sammanfattning : The wide deployment of Global Positioning System (GPS) sensors for movement data collection has enabled a wide range of applications in transportation and urban planning. Frequent and dominant movement patterns embedded in GPS trajectory data provide valuable knowledge including the spatial and temporal distribution of frequent routes selected by the tracked objects and the regular movement behavior in certain regions. LÄS MER
5. Methods for Travel Pattern Analysis Using Large-Scale Passive Data
Sammanfattning : Comprehensive knowledge of travel patterns is crucial to enable planning for a more efficient traffic system that accommodates human mobility demand. Currently, this knowledge is mainly based on traffic models based on relatively small samples of observations collected from travel surveys and traffic counts. LÄS MER