Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 5 of 5 for “"Travel Mode Detection"”.
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Machine learning and task disambiguation in hand-picked agriculture
Although GPS-based travel data has been studied by many mainly for automated travel mode detection, the area of activity mode detection during harvest still remains an open technical challenge. This thesis proposes and tests a pattern recognition approach to harvest mode recognition from GPS travel …
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Application of Deep Learning in Intelligent Transportation Systems
… architectures in much detail, including (1) travel mode detection, (2) vehicle classification, and (3) traffic information system. To this end, an efficient representation for spatiotemporal and crowdsourced data (e.g., GPS trajectories) is also required to be designed in such a way that not …
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Integration of GIS and machine learning techniques to investigate the impact of environmental contexts on travel modes
… of research has adopted the definition of active travel modes. Active travel modes have made a great contribution to overall physical activity and, therefore, it is important to understand the active travels associated with environmental facilitators or barriers in physical activity and …
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Travel Mode Identification with Smartphone Sensors
<p>Personal trips in a modern urban society typically involve multiple travel modes. Recognizing a traveller's transportation mode is not only critical to personal context-awareness in related applications, but also essential to urban traffic operations, transportation planning, and facility …
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Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data
Identification of travelers' transportation modes is a fundamental step for various problems that arise in the domain of transportation such as travel demand analysis, transport planning, and traffic management. This thesis aims to identify travelers' transportation modes purely based on their GPS …