att_abstract={{Understanding utilization of city roads is important for urban planners. In this paper, we show how to use cellular hand- off patterns from cellular phone networks to identify which routes people take through a city. Specifically, this paper makes the following three contributions. First, we show that cellular handoff patterns on a given route are stable across a range of conditions and propose a way to measure stability within and between routes using a variant of Earth Mover�s Distance. Second, we present two accurate classification al- gorithms for matching cellular handoff patterns to routes: one requires test drives on the routes while the other uses signal strength data collected by high-resolution scanners. Finally, we present an application of our algorithms for mea- suring relative volumes of traffic on routes leading into and out of a specific city, and validate our methods using statis- tics published by a state transportation authority.}},
	att_authors={cv2452, av8693, rb2812, jl213k, su2464, rc177e, kh1285},
	att_categories={C_IIS.2, A_ST.3},
	att_copyright_notice={{(c) ACM, 2011. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in  13th ACM International Conference on Ubiquitous Computing {{, 2011-09-01}}.
	att_projects={ SagaCITY},
	author={Christopher Volinsky and Alexander Varshavsky and Richard Becker and Ji Loh and Simon Urbanek and Ramon Caceres and Karrie Hanson},
	institution={{13th ACM International Conference on Ubiquitous Computing}},
	title={{Route Classification using Cellular Handoff Patterns}},