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A Framework of Use Cases, Scenarios, and Metrics for Evaluation of V2X Maneuver Coordination | IEEE Conference Publication | IEEE Xplore

A Framework of Use Cases, Scenarios, and Metrics for Evaluation of V2X Maneuver Coordination


Abstract:

Vehicle-to-everything (V2X) communication can en-hance the capabilities of connected and automated vehicles (CAVs) to perform cooperative maneuver coordination (CMC), off...Show More

Abstract:

Vehicle-to-everything (V2X) communication can en-hance the capabilities of connected and automated vehicles (CAVs) to perform cooperative maneuver coordination (CMC), offering improvements in traffic safety, awareness, comfort and efficiency. Recent years have seen progress in the development of cooperative driving applications that leverage V2X maneuver co-ordination service and message (MCS and MCM), driven by both research and standardization efforts. However, the evaluation of such applications, along with defining relevant use cases and scenarios, lacks a common framework. This paper aims to fill this gap by proposing a framework for classifying use cases, scenarios and metrics for simulation-based performance evaluation of CMC applications. A simulation environment is employed to assess the effectiveness of the proposed metrics and evaluate a highway merging use case across various scenarios without coordination, with coordination, and in different communication conditions. Thus, this paper serves as a contribution to the development, testing and evaluation of CM C applications.
Date of Conference: 29-31 May 2024
Date Added to IEEE Xplore: 02 July 2024
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Conference Location: Kobe, Japan

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