Vehicle scheduling for on-demand vehicle fleets in macroscopic travel demand models
Publikation: Beitrag in Fachzeitschrift › Forschungsartikel › Beigetragen › Begutachtung
Beitragende
Abstract
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.
Details
Originalsprache | Englisch |
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Seiten (von - bis) | 1133-1155 |
Seitenumfang | 23 |
Fachzeitschrift | Transportation |
Jahrgang | 49 |
Publikationsstatus | Veröffentlicht - 2 Juli 2021 |
Peer-Review-Status | Ja |
Extern publiziert | Ja |
Externe IDs
ORCID | /0000-0002-1582-6089/work/150884778 |
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Scopus | 85109268404 |
Schlagworte
Schlagwörter
- Automated vehicles, Carsharing, Macroscopic travel demand models, On-demand service, Ridesharing, Vehicle scheduling