FDA-VeD: A future-demand-aware vehicle dispatching service

Guo, Y; Zhao, W; Yang, J; Zhang, Z; Wu, J; Anwar, T

FDA-VeD: A future-demand-aware vehicle dispatching service

Guo, Y Zhao, W Yang, J Zhang, Z Wu, J Anwar, T

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: Proceedings 2020 IEEE International Conference on Services Computing SCC 2020, 2020, 00, pp. 345-352
Issue Date:: 2020-11-01

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Field	Value	Language
dc.contributor.author	Guo, Y
dc.contributor.author	Zhao, W
dc.contributor.author	Yang, J
dc.contributor.author	Zhang, Z
dc.contributor.author	Wu, J
dc.contributor.author	Anwar, T
dc.date	2020-10-18
dc.date.accessioned	2021-06-09T04:18:09Z
dc.date.available	2021-06-09T04:18:09Z
dc.date.issued	2020-11-01
dc.identifier.citation	Proceedings 2020 IEEE International Conference on Services Computing SCC 2020, 2020, 00, pp. 345-352
dc.identifier.isbn	9781728187891
dc.identifier.issn	2474-8137
dc.identifier.issn	2474-2473
dc.identifier.uri	http://hdl.handle.net/10453/149463
dc.description.abstract	In this paper, we develop a Future-Demand-Aware Vehicle Dispatching Service (FDA-VeD) by considering the relocation of idle vehicles based on the predicted future demands in order to achieve high passenger serving ratio. We evaluate the performance of our system on New York taxi dataset. We demonstrate that our approach achieves a significantly higher serving ratio with a low operating cost increase in comparison with existing methods.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	Proceedings 2020 IEEE International Conference on Services Computing SCC 2020
dc.relation.ispartof	IEEE International Conference on Services Computing
dc.relation.isbasedon	10.1109/SCC49832.2020.00052
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	FDA-VeD: A future-demand-aware vehicle dispatching service
dc.type	Conference Proceeding
utslib.citation.volume	00
utslib.location.activity	China
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2021-06-09T04:18:06Z
pubs.finish-date	2020-10-24
pubs.publication-status	Published
pubs.start-date	2020-10-18
pubs.volume	00

Abstract:

In this paper, we develop a Future-Demand-Aware Vehicle Dispatching Service (FDA-VeD) by considering the relocation of idle vehicles based on the predicted future demands in order to achieve high passenger serving ratio. We evaluate the performance of our system on New York taxi dataset. We demonstrate that our approach achieves a significantly higher serving ratio with a low operating cost increase in comparison with existing methods.

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http://hdl.handle.net/10453/149463