Predicting Citywide Passenger Demand via Reinforcement Learning from Spatio-Temporal Dynamics

Ning, X; Yao, L; Wang, X; Benatallah, B; Salim, F; Haghighi, PD

Predicting Citywide Passenger Demand via Reinforcement Learning from Spatio-Temporal Dynamics

Ning, X Yao, L Wang, X

Benatallah, B Salim, F

Haghighi, PD

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Publisher:: ASSOC COMPUTING MACHINERY
Publication Type:: Conference Proceeding
Citation:: PROCEEDINGS OF THE 15TH EAI INTERNATIONAL CONFERENCE ON MOBILE AND UBIQUITOUS SYSTEMS: COMPUTING, NETWORKING AND SERVICES (MOBIQUITOUS 2018), 2018, pp. 19 - 28 (10)
Issue Date:: 2018-01-01

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Field	Value	Language
dc.contributor.author	Ning, X	en_US
dc.contributor.author	Yao, L	en_US
dc.contributor.author	Wang, X https://orcid.org/0000-0001-9582-3445	en_US
dc.contributor.author	Benatallah, B	en_US
dc.contributor.author	Salim, F https://orcid.org/0000-0002-1237-1664	en_US
dc.contributor.author	Haghighi, PD	en_US
dc.date	2018-11-05	en_US
dc.date.issued	2018-01-01	en_US
dc.identifier.citation	PROCEEDINGS OF THE 15TH EAI INTERNATIONAL CONFERENCE ON MOBILE AND UBIQUITOUS SYSTEMS: COMPUTING, NETWORKING AND SERVICES (MOBIQUITOUS 2018), 2018, pp. 19 - 28 (10)	en_US
dc.identifier.uri	http://hdl.handle.net/10453/130240
dc.publisher	ASSOC COMPUTING MACHINERY	en_US
dc.relation.ispartof	PROCEEDINGS OF THE 15TH EAI INTERNATIONAL CONFERENCE ON MOBILE AND UBIQUITOUS SYSTEMS: COMPUTING, NETWORKING AND SERVICES (MOBIQUITOUS 2018)	en_US
dc.relation.ispartof	15th EAI International Conference on Mobile and Ubiquitous Systems - Computing, Networking and Services (Mobiquitous)	en_US
dc.relation.isbasedon	10.1145/3286978.3286991	en_US
dc.title	Predicting Citywide Passenger Demand via Reinforcement Learning from Spatio-Temporal Dynamics	en_US
dc.type	Conference Proceeding
utslib.location.activity	New York City, NY	en_US
utslib.for	0805 Distributed Computing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access
pubs.finish-date	2018-11-07	en_US
pubs.publication-status	Published	en_US
pubs.start-date	2018-11-05	en_US

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http://hdl.handle.net/10453/130240