Artikel
Vehicle scheduling for on-demand vehicle fleets in macroscopic travel demand models
The planning of on-demand services requires the formation of vehicle schedules consisting of service trips and empty trips. This paper presents an algorithm for building vehicle schedules that uses time-dependent demand matrices (= service trips) as input and determines time-dependent empty trip matrices and the number of required vehicles as a result. The presented approach is intended for long-term, strategic transport planning. For this purpose, it provides planners with an estimate of vehicle fleet size and distance travelled by on-demand services. The algorithm can be applied to integer and non-integer demand matrices and is therefore particularly suitable for macroscopic travel demand models. Two case studies illustrate potential applications of the algorithm and feature that on-demand services can be considered in macroscopic travel demand models.
- Sprache
-
Englisch
- Erschienen in
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Journal: Transportation ; ISSN: 1572-9435 ; Volume: 49 ; Year: 2021 ; Issue: 4 ; Pages: 1133-1155 ; New York, NY: Springer US
- Klassifikation
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Handel, Kommunikation, Verkehr
- Thema
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Vehicle scheduling
Macroscopic travel demand models
Automated vehicles
Carsharing
Ridesharing
On-demand service
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Hartleb, Johann
Friedrich, Markus
Richter, Emely
- Ereignis
-
Veröffentlichung
- (wer)
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Springer US
- (wo)
-
New York, NY
- (wann)
-
2021
- DOI
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doi:10.1007/s11116-021-10205-4
- Letzte Aktualisierung
-
10.03.2025, 11:43 MEZ
Datenpartner
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Objekttyp
- Artikel
Beteiligte
- Hartleb, Johann
- Friedrich, Markus
- Richter, Emely
- Springer US
Entstanden
- 2021
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