Global ETD Search
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Showing 1 to 2 of 2 for “"travel-activity pattern"”.
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Inferring travel activity pattern from smartphone sensing data using deep learning
Understanding the travel routine of the individuals is important in many domains. In transport research understanding daily travel routine is crucial for modeling the travel behavior of the individuals. Such models help predict the travel demand and develop strategies for managing that demand. …
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Space-time modeling of urban population daily travel-activity patterns using GPS trajectory data
People conduct travel to engage in a variety of activities every day. Their activities include working, dining, shopping, and so forth. Their travels include trips to these activity locations. Each individual may have the same or a different schedule of travels and activities (T-A for short) on …