Techno-economic and simulation study of a V2I-based cooperative manoeuvring case in a cross-border scenario

A. Chiha Ep Harbi, F. Poli, B. Denis, F. Vannieuwenborg, D. Garcia-Roger, J. Monserrat and W. Aigner
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A. Chiha Ep Harbi: IMEC - IMEC - KU Leuven - Catholic University of Leuven = Katholieke Universiteit Leuven, UGENT - Universiteit Gent = Ghent University = Université de Gand
F. Poli: CEA-LETI - Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information - DRT (CEA) - Direction de Recherche Technologique (CEA) - CEA - Commissariat à l'énergie atomique et aux énergies alternatives
B. Denis: CEA-LETI - Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information - DRT (CEA) - Direction de Recherche Technologique (CEA) - CEA - Commissariat à l'énergie atomique et aux énergies alternatives
F. Vannieuwenborg: IMEC - IMEC - KU Leuven - Catholic University of Leuven = Katholieke Universiteit Leuven, UGENT - Universiteit Gent = Ghent University = Université de Gand
D. Garcia-Roger: UPV - Universitat Politècnica de València = Universitad Politecnica de Valencia = Polytechnic University of Valencia
J. Monserrat: UPV - Universitat Politècnica de València = Universitad Politecnica de Valencia = Polytechnic University of Valencia
W. Aigner: HiTec Vienna

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Abstract: In this paper, we present a techno-economic analysis of a Cooperative, Connected and Automated Mobility (CCAM) use case in a specific cross-border environment, namely Cooperative Lane Merging (CLM). The latter is assumed to rely on Vehicle-to-Infrastructure (V2I) connectivity with respect to a set of inter-connected Road Side Units (RSUs). In order to feed the techno-economic framework with the required data in terms of road infrastructure, extensive system-level simulations have been performed using a connectivity oriented key performance indicator (KPI), while considering three different deployment scenarios and realistic road traffic densities. The proposed model identifies the minimum additional RSUs required to satisfy the CLM KPI with respect to the number of simultaneous connected cars. First results show the beneficial impact from densifying the road network infrastructure on the CLM service availability, especially under the highest road traffic conditions. In terms of Total Cost of Ownership (TCO), cost results of a set of scenarios considering the variation of both the number of connected cars and the RSUs to be deployed are discussed as well.

Keywords: Techno-economic Studies; Cooperative Connected and Automated Mobility (CCAM); Cooperative Lane Merging (CLM); Road Side Units (RSUs); Vehicle-to-Infrastructure (V2I); Total Cost of Ownership (TCO) (search for similar items in EconPapers)
Date: 2021-09-27
Note: View the original document on HAL open archive server: https://cea.hal.science/cea-04571011v1
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Published in VTC2021-Fall - 2021 IEEE 94th Vehicular Technology Conference, Sep 2021, Virtual conference, France. ⟨10.1109/VTC2021-Fall52928.2021.9625407⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:cea-04571011

DOI: 10.1109/VTC2021-Fall52928.2021.9625407

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