441 research outputs found
Quantifying cycling traffic fluency based on big mobile tracking data
Activity tracking data collected by mobile applications opens up a new, data-driven perspective on monitoring cycling in the city. In this work, we demonstrate how a large set of trajectories can be used to measure the cyclability of an urban infrastructure. We achieve this by defining the cycling traffic fuency index that describes the smoothness of cycling traffic on segments of a street network. Bias, uncertainty, and the divergence of infrastructure popularity presents challenges to the method, but within these limits, the index could be applied in city planning or as a routing criterion
Alien Registration- Tanas, Anna (Waterville, Kennebec County)
https://digitalmaine.com/alien_docs/14995/thumbnail.jp
Alien Registration- Poulin, Marie A. (Waterville, Kennebec County)
https://digitalmaine.com/alien_docs/14770/thumbnail.jp
1982 Heights Yearbook
Contains images and information about Assumption College students, faculty, athletic teams, and other student clubs or activities.https://digitalcommons.assumption.edu/heights/1021/thumbnail.jp
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