Abstract

Cooperative driving is a promising approach to increase traffic efficiency and safety but requires high Vehicle-to-Everything (V2X) communication performance for coordinating and executing a cooperative maneuvers, especially in scenarios with high vehicle densities under congested channel conditions. Recent studies identified that content-agnostic congestion control mechanisms deployed in decentralized V2X networks maintain the radio communication performance under congested channel conditions but severely degrade the communication performance from the application perspective, such as for cooperative driving, as focused in this paper. Thus, we propose a relevance-aware resource allocation mechanism for decentralized V2X networks that prioritizes vehicles with relevant information and counteracts channel conditions. Our evaluation results show that our proposed approach maintains the radio communication performance and significantly increases the communication performance from the application perspective compared to content-aware resource allocation and content-agnostic congestion control mechanisms.

Highlights

  • T HE number of vehicles has grown over the past years and is expected to continue growing in the future [1]

  • Interesting to note is that we observe oscillation for all three performance metrics for the Reactive Decentralized Congestion Control (RDCC) approach, which is caused by the synchronous updates: All vehicles firstly observe a Channel Busy Ratio (CBR) of 0.18 and, transition to the Relaxed state, which allows for a message frequency of 10 Hz

  • We show that our approach has a slightly lower Packet Delivery Ratio (PDR) compared to Reactive Decentralized Congestion Control (R-DCC) and Adaptive Decentralized Congestion Control (A-DCC) but outperforms all other approaches in terms of the network’s Accessible Information Relevance (AIR)

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Summary

Introduction

T HE number of vehicles has grown over the past years and is expected to continue growing in the future [1]. Traffic efficiency, in addition to safety, gets increasingly important [3] to reduce or even avoid traffic jams. In this context, Vehicle-to-Everything (V2X) communication constitutes an important research area to increase traffic efficiency and safety for both human-driven and autonomous vehicles [4], [5]. V2X enables cooperative driving to optimize traffic efficiency on the road by improving traffic flows, i. The increased local awareness already enables implicit coordination of driving maneuvers: Vehicles can identify and use a gap in a traffic flow to improve traffic efficiency.

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