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Simulation and optimization of dynamic-hybrid parking reservation strategies for one-way vehicle-sharing systems.
- Source :
-
Transportation Letters . Oct2024, Vol. 16 Issue 8, p894-910. 17p. - Publication Year :
- 2024
-
Abstract
- In this paper, we explore the regulation of one-way station-based vehicle-sharing system (OSVS) through dynamic-hybrid parking reservation policies. We first propose a dynamic-hybrid parking reservation policy. This policy only requires trips with expected travel distances shorter than a specific threshold to make a parking reservation. The distance threshold varies with time. We develop a discrete event simulation model based on the O2DES (object-oriented discrete event simulation) framework to compare the dynamic-hybrid parking reservation (DHPR) strategy with the no-reservation (NR), static-hybrid parking reservation (SHPR) and complete parking reservation (CPR) strategies. Furthermore, we propose a simulation-optimization model and an Elitism-based Genetic algorithm with the optimal computation budget allocation to determine the fleet size, station capacity, and dynamic reservation distance threshold. The analysis of case studies of a real-world system indicates that DHPR is always superior to NR, SHPR and CPR. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 19427867
- Volume :
- 16
- Issue :
- 8
- Database :
- Academic Search Index
- Journal :
- Transportation Letters
- Publication Type :
- Academic Journal
- Accession number :
- 179967776
- Full Text :
- https://doi.org/10.1080/19427867.2023.2254527