BuSCOPE: Fusing individual & aggregated mobility behavior for “Live” smart city services

BuSCOPE: Fusing individual & aggregated mobility behavior for “Live” smart city services

While analysis of urban commuting data has a long and demonstrated history of providing useful insights into human mobility behavior, such analysis has been performed largely in offline fashion and to aid medium-to-long term urban planning. In this work, we demonstrate the power of applying predicti...

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Bibliographic Details
Main Authors: MEEGAHAPOLA, Lakmal Buddika, KANDAPPU, Thivya, KASTHURI JAYARAJAH, AKOGLU, Leman, XIANG, Shili, MISRA, Archan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2019
Subjects:
Mobility Behavior
Regularity
Conformity
Live Smart City Services
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/4668
https://ink.library.smu.edu.sg/context/sis_research/article/5671/viewcontent/Bus_analytics_2019.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/4668
https://ink.library.smu.edu.sg/context/sis_research/article/5671/viewcontent/Bus_analytics_2019.pdf

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