Irvine, Patrick, Baker, Peter, Bruto da Costa, Antonio, Zhang, Xizhe, Khastgir, Siddartha and Jennings, Paul (2022) Vehicle-to-Everything (V2X) in scenarios : extending scenario description language for connected vehicle scenario descriptions. In: 33rd IEEE Intelligent Vehicles Symposium, Aachen, Germany, 05-09 Jun 2022. Published in: Proceedings of the IEEE Symposium on Intelligent Vehicles (In Press)

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Abstract

The move towards connected and autonomous vehicles (CAVs) has gained a strong focus in recent years due to the many benefits they provide. While the autonomous aspect has seen substantial advancement in both the development and testing methodologies, the connected aspect has lagged behind, especially in the verification & validation discussions. Integrating connectivity into the development and testing framework for CAVs is a necessity for ensuring the early deployment of cooperative driving systems. A key element within such a framework is a test scenario, which represents a set of scenery, environmental conditions, and dynamic conditions, that a system needs to be tested in. However, the connectivity element is not present in any of the current state of the art scenario description languages (SDLs) that are publicly available. This leaves a gap within the CAV development ecosystem. To accommodate for, and accelerate the development of, connected vehicle systems and their verification and validation methods, this paper proposes a novel V2X extension to the previously published two-level abstraction SDL. The extension enables communications between vehicles, infrastructures, and further additional entities to be specified as part of the scenario and be subsequently tested in virtual testing or real-world testing. Eight new V2X attributes have been added to the SDL. An example set of syntax and semantic definitions are presented in this paper targeting two different abstraction levels – level 1 aims at the abstract scenario level for non-technical end-users such as regulators, and level 2 aims at the logical and concrete scenario level for end-users such as simulation test engineers.

Item Type:	Conference Item (Paper)
Subjects:	T Technology > TE Highway engineering. Roads and pavements
Divisions:	Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Library of Congress Subject Headings (LCSH):	Vehicle-infrastructure integration, Automated guided vehicle systems, Intelligent transportation systems, Automated vehicles
Journal or Publication Title:	Proceedings of the IEEE Symposium on Intelligent Vehicles
Publisher:	IEEE
Official Date:	2022
Dates:	Date Event 2022 Published 10 April 2022 Accepted
Status:	Peer Reviewed
Publication Status:	In Press
Reuse Statement (publisher, data, author rights):	© 2022 IEEE.  Personal use of this material is permitted.  Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Copyright Holders:	IEEE
RIOXX Funder/Project Grant:	Project/Grant ID RIOXX Funder Name Funder ID MR/S035176/1 UKRI Future Leaders Fellowship UNSPECIFIED UNSPECIFIED Department of Transport, UK UNSPECIFIED UNSPECIFIED Transport Canada http://dx.doi.org/10.13039/100014615
Conference Paper Type:	Paper
Title of Event:	33rd IEEE Intelligent Vehicles Symposium
Type of Event:	Conference
Location of Event:	Aachen, Germany
Date(s) of Event:	05-09 Jun 2022
Related URLs:	Organisation Publisher

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