Transportation mode inference from anonymized and aggregated mobile phone call detail records
Transportation mode inference is an important research direction and has many applications. Existing methods are usually based on fine-grained sampling - collecting position data from mobile devices at high frequency. These methods can achieve high accuracy, but also incur cost and complexity in ter...
Main Authors: | Wang, Huayong, Calabrese, Francesco, Di Lorenzo, Giusy, Ratti, Carlo |
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Other Authors: | Massachusetts Institute of Technology. Department of Urban Studies and Planning |
Format: | Article |
Language: | en_US |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2016
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Online Access: | http://hdl.handle.net/1721.1/101714 https://orcid.org/0000-0003-2026-5631 |
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