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- W651762856 abstract "The ubiquity of mobile devices, coupled with their need to communicate wirelessly, provides a wealth of data that, if properly handled, can be used to quickly enhance understanding and recognition of transport patterns. This dataset provides an opportunity to create a very low maintenance sensor infrastructure that is scalable and inexpensive. This paper presents a proof of concept experiment for a new mobile device-based framework for transportation data collection and interpretation. A novel “app-based” sensing paradigm, which turns smartphones into Bluetooth sensors, is developed, tested, and evaluated in this study for the purposes of travel data collection and analysis. Of particular interest are the spatial and temporal patterns that evolve as a result of daily human activity in very dense urban cores and campuses, where non-motorized modes dominate. The test results indicate that this new data collection framework is effective and has great potential for future pedestrian travel pattern discovery and activity data collection." @default.
- W651762856 created "2016-06-24" @default.
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- W651762856 date "2012-01-01" @default.
- W651762856 modified "2023-09-26" @default.
- W651762856 title "Pedestrian Travel Pattern Discovery Using Mobile Bluetooth Sensors" @default.
- W651762856 hasPublicationYear "2012" @default.
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