Enhancing Vehicle Orientation in Toll Stations Using vMEC and Hybrid Vehicular Communications
Year: 2024
Type: conference-paper
Abstract: Toll management systems have a vital role in facilitating smooth and effective traffic flow at toll stations. To this end, numerous use cases have been explored to guide and detect vehicles at toll stations. This paper presents the results of a study conducted on a testbed as part of the European project InDiD. By utilizing more robust technologies, our work aims to enhance a specific use case explored within this project. Leveraging the resources of the APRR (Autoroute Paris-Rhin-Rhône enhanced) Cooperative Intelligent Transportation System (C-ITS) testbed, we did two experiments to assess the use of two technologies in improving vehicles orientation while approaching a toll station. The first one featured an upgraded vehicular communication network, incorporating both ITS-G5 and LTE-UU to improve the reliability of the vehicular communications. The subsequent one integrated computational power directly onto the vehicle (vMEC) to compare it with the use of an edge computing resource. The results show an improvement in reliability, a coverage extension, and a favorable latency tradeoff when using the vMEC. Additionally, we closely monitored the downlink resource consumption while employing hybrid communication.
Institutions: Centre National de la Recherche Scientifique, Université de Bordeaux, Laboratoire Bordelais de Recherche en Informatique, Institut Polytechnique de Bordeaux, Institut de Recherche en Informatique et Systèmes Aléatoires, Université de Rennes, Université de Lille, Institut d'Electronique, de Microélectronique et de Nanotechnologie, Université Polytechnique Hauts-de-France, Centre de Recherche en Sciences et Technologies de l'Information et de la Communication, Université de Reims Champagne-Ardenne
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4405056366