An intelligent management system for relocating semi-autonomous shared vehicles
Elias K. Xidias,
Ilias E. Panagiotopoulos and
Paraskevi Th. Zacharia
Transportation Planning and Technology, 2023, vol. 46, issue 1, 93-118
Abstract:
Car sharing services with Semi-Autonomous Electric Vehicles (SAEVs) represent an emerging transportation scheme which may comprise an important link in the green mobility chain for smart city operations. The main goal of the present paper is to introduce and develop an intelligent management system for the efficient relocation of SAEVs within the urban car-sharing context. A novel relocation strategy is analyzed regarding the upcoming technology of platooning. Considering real urban road networks for SAEVs, routing decisions are assessed based on the traffic conditions and energy efficiency. Fuzzy logic concepts are incorporated into the proposed system to simulate the uncertainty related to the roads’ traffic conditions. The problem addressed in this work is a constrained optimization problem. Solutions to the addressed problem are yielded using a Genetic Algorithm (GA) in accordance with the fuzzy logic module. Simulated experiments over the city of Patras (Greece) show the efficiency of the developed approach.
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/03081060.2022.2162052 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:transp:v:46:y:2023:i:1:p:93-118
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/GTPT20
DOI: 10.1080/03081060.2022.2162052
Access Statistics for this article
Transportation Planning and Technology is currently edited by Dr. David Gillingwater
More articles in Transportation Planning and Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().