Connected Lane Merge System Through Driving Trajectory Sharing Based on 5G-NR-V2X

Kana Kim, Giyoung Mun, Gyuseok Lee, Dayoung Kim, Hakil Kim

Research output: Contribution to journalArticlepeer-review

Abstract

This study aims to verify the reliability of Vehicle-to-Everything (V2X) communication systems for improving safety in advanced driving scenarios. Current autonomous driving systems that rely on sensors such as GPS or LiDAR have limitations. Additionally, slight delays when changing lanes can cause traffic congestion. Connected autonomous vehicles can solve this problem by exchanging driving data and controlling movements through 5G New Radio V2X (5G-NR-V2X) communication. In this study, 5G-NR-V2X is utilized to facilitate trajectory sharing as well as driving information exchange. Sharing driving trajectories can allow the proactive management of risks due to lane merging and increase maneuvering efficiency. Comparing the proposed method with experiments using LiDAR sensors revealed similar performance, and the former was more cost-effective. This study reveals how connected driving through trajectory sharing can alleviate problems related to road congestion and transportation efficiency.

Original languageEnglish
Pages (from-to)492-499
Number of pages8
JournalJournal of Institute of Control, Robotics and Systems
Volume30
Issue number4
DOIs
StatePublished - 2024

Bibliographical note

Publisher Copyright:
© ICROS 2024.

Keywords

  • 5G-NR-V2X
  • Advanced Driving
  • Connected Autonomous Vehicle
  • Cooperative Lane Change
  • Traffic-flow Control

Fingerprint

Dive into the research topics of 'Connected Lane Merge System Through Driving Trajectory Sharing Based on 5G-NR-V2X'. Together they form a unique fingerprint.

Cite this