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

Johann Hartleb (), Markus Friedrich () and Emely Richter ()
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Johann Hartleb: University of Stuttgart
Markus Friedrich: University of Stuttgart
Emely Richter: University of Stuttgart

Transportation, 2022, vol. 49, issue 4, No 5, 1133-1155

Abstract: 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.

Keywords: Vehicle scheduling; Macroscopic travel demand models; Automated vehicles; Carsharing; Ridesharing; On-demand service (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s11116-021-10205-4

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