Optimal bike fleet management by smart relocation methods: Combining an operator-based with an user-based relocation strategy

Svenja Reiss, Klaus Bogenberger

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

20 Zitate (Scopus)

Abstract

Based on an empirical data analysis, a simulation was built up in order to forecast the upcoming demand for an urban Bike Sharing System (BSS). To satisfy this demand, a relocation strategy is applied to rebalance the fleet of the BSS. In case of moderate imbalances, a pricing model incents users to ride bikes from "bad" to "good" spots. This saves operator's cost as no further relocation trips by trucks are generated. If the imbalances are severe though, the user-based method is not sufficient and the operator needs to intervene supplementary. Therefore, the relocation model provides an optimal strategy to combine both methods.

OriginalspracheEnglisch
Titel2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten2613-2618
Seitenumfang6
ISBN (elektronisch)9781509018895
DOIs
PublikationsstatusVeröffentlicht - 22 Dez. 2016
Veranstaltung19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016 - Rio de Janeiro, Brasilien
Dauer: 1 Nov. 20164 Nov. 2016

Publikationsreihe

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Konferenz

Konferenz19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016
Land/GebietBrasilien
OrtRio de Janeiro
Zeitraum1/11/164/11/16

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