Vehicle scheduling for on-demand vehicle fleets in macroscopic travel demand models

Artikel

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Journal: Transportation ; ISSN: 1572-9435 ; Volume: 49 ; Year: 2021 ; Issue: 4 ; Pages: 1133-1155 ; New York, NY: Springer US

Classification and Topics

• Classification: Handel, Kommunikation, Verkehr
• Subject: Vehicle scheduling ; Macroscopic travel demand models ; Automated vehicles ; Carsharing ; Ridesharing ; On-demand service

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Hartleb, Johann ; Friedrich, Markus ; Richter, Emely
• Event: Veröffentlichung
• (who): Springer US
• (where): New York, NY
• (when): 2021

Further information

• DOI: doi:10.1007/s11116-021-10205-4
• Last update: 10.03.2025, 11:43 AM CET