Open AccessC-V2X Communications for the Support of a Green Light Optimized Speed Advisory (GLOSA) Use Case
Author(s) -
Ioannis P. Chochliouros,
Anastasia S. Spiliopoulou,
Αλέξανδρος Κωστόπουλος,
George Agapiou,
Pavlos I. Lazaridis,
Zaharias D. Zaharis,
Tao Chen,
Athanassios Dardamanis,
Michail-Alexandros Kourtis,
Marinos Agapiou,
Uwe Herzog,
Latif Ladid
Publication year - 2021
Publication title -
journal of telecommunications and information technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.151
H-Index - 12
eISSN - 1899-8852
pISSN - 1509-4553
DOI - 10.26636/jtit.2021.152321
Subject(s) - computer science , context (archaeology) , scope (computer science) , intelligent transportation system , transport engineering , work (physics) , road traffic safety , vehicular communication systems , telecommunications , vehicular ad hoc network , engineering , road traffic , mechanical engineering , paleontology , biology , programming language , wireless ad hoc network , wireless
Rapid expansion of 5G affects a number of sectors, including vehicular communications relying on cooperative intelligent transportation systems (C-ITS). More specifically, in the context of the Internet of Vehicles (IoV), a particular emphasis is placed on modern cellular V2X (C-V2X) technologies aiming to further improve road safety. This work originates from the detailed scope of the ongoing 5G-DRIVE research project promoting cooperation between the EU and China, with the aim of demonstrating IoV services that rely on vehicle-to-infrastructure (V2I) communications. With the C-V2X approach serving as a point of departure, we analyze and describe a specific green light-optimized speed advisory (GLOSA) use case, for which we provide a detailed descriptive framework, a proposed architectural framework for trials, as well as specific KPIs for the joint assessment of trials between the EU and China. We also discuss the context for performance test procedures to be conducted as part of the intended trials. GLOSA provides end-users with short-term information on upcoming traffic light status to optimize traffic flows, help prevent speed limit violations, improve fuel efficiency, and reduce pollution