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Evaluating the impact of spatio-temporal demand forecast aggregation on the operational performance of shared autonomous mobility fleets

Bibliographic Data

ID19338185
AuthorsFlorian Dandl (0000-0003-3706-9725, Universität der Bundeswehr München), Michael Hyland (0000-0001-8394-8064, University of California, Irvine), Klaus Bogenberger (0000-0003-3868-9571, Universität der Bundeswehr München), Hani S Mahmassani (0000-0002-8443-8928, Northwestern University, corresponding author)
Year2019
Volume46
Issue6
Pages1975-1996
Publication date2019-12-01
Open AccessYes
TypeARTICLE
VenueTransportation (JOURNAL)
Journal identifiersISSN: 0049-4488 • E-ISSN: 1572-9435
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11116-019-10007-9
OpenAlexW2944404766
LanguageEN
Citations received5
References cited30

Context (archaeology) · Demand forecasting · Demand management · Demand patterns · Economics · Fleet management · On demand · Operations research · Quality (philosophy) · Reliability (semiconductor) · Service (business) · Computer Science · Engineering · Transportation and Mobility Innovations · Transportation Planning and Optimization · Urban and Freight Transport Logistics

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Citations per year1
Citation span2021 - 2026 (6)
Highly citedNo

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