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One significant challenge for scientists is how to mine useful patterns of moving objects' trajectories, with the increasing individual data collected by location-aware technologies. This paper proposes an integrated space-time pattern classification approach for individuals' travel trajectories, which differentiates itself from traditional data mining techniques, such as clustering, frequent pattern...
Mining attractive areas that people interested in and their related movement patterns can lead to instructive insight to transport management, urban planning and location-based services (LBS). The number of visiting that it attracts is used in this paper to measure an area's level of attractiveness (LoA). As one of the most widely used mode of transport, taxi can tell a lot of stories about not only...
Conventional human visual pavement distress detection method is very costly, time-consuming, labor-intensive, and is often dangerous due to exposure to traffic. It possesses various drawbacks such as being unable to provide meaningful quantitative information and with a long periodic measurement. In this paper, a novel pavement image-thresholding algorithm based on neighboring difference histogram...
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