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.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00494488
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Supplemental Notes:
- © The Author(s) 2021.
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Authors:
- Hartleb, Johann
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0000-0001-8101-1542
- Friedrich, Markus
- Richter, Emely
- Publication Date: 2022-8
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References;
- Pagination: pp 1133-1155
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Serial:
- Transportation
- Volume: 49
- Issue Number: 4
- Publisher: Springer
- ISSN: 0049-4488
- EISSN: 1572-9435
- Serial URL: http://link.springer.com/journal/11116
Subject/Index Terms
- TRT Terms: Data models; Fleet management; Intelligent vehicles; Ridesharing; Scheduling; Travel demand management; Vehicle sharing
- Subject Areas: Highways; Planning and Forecasting;
Filing Info
- Accession Number: 01860043
- Record Type: Publication
- Files: TRIS
- Created Date: Sep 30 2022 2:27PM