遠隔操作の自動運転車を支援する新しい監視システム(How a New System Could Help the Remote Drivers Who Operate ‘Driverless’ Cars)

2026-03-11 ノースカロライナ州立大学(NC State)

ノースカロライナ州立大学(NC State)研究チームは、自動運転遠隔操作するオペレーター安全作業効率高める新しい支援システム提案した。多くの「無人運転車」完全自律ではなく、複雑交通状況では遠隔ドライバー介入する必要ある。しかし従来運用問題発生後に対応する“受動型”あり、長時間監視による注意力低下対応遅れ課題なる。研究では、車両周辺状況走行リスク事前提示する“予測型・能動型”情報提供モデル設計し、遠隔オペレーター状況認識迅速判断支援すること示した。この仕組み遠隔運転安全向上自動運転システム実用促進寄与すると期待れる。

遠隔操作の自動運転車を支援する新しい監視システム(How a New System Could Help the Remote Drivers Who Operate ‘Driverless’ Cars)
Photo credit: Dietmar Rabich.

<関連情報>

自動運転車のプロアクティブ遠隔操作:人間の操縦性のサポート Proactive Remote Operation of Automated Vehicles: Supporting human controllability

Jing Feng,Xiaolu Bai,Yunan Liu ,Christopher Michael Cunningham
Handbook of Human-Centered Artificial Intelligence  Published:30 November 2025
DOI:https://doi.org/10.1007/978-981-97-8440-0_107-1

Abstract

This chapter explores the emerging field of remote operation of automated vehicles, with the focus on integrating human factors, traffic engineering, and operation research to enhance safety and efficiency. As automated vehicles become more prevalent, but before the full autonomy is achieved, the role of remote operators is emphasized as crucial for managing potential automation failures and ensuring human controllability. The chapter discusses the challenges of maintaining vigilance, managing cognitive load, and ensuring timely interventions in dynamic environments in remote operation. Innovative approaches are introduced to address these challenges, including the development of proactive operation systems that utilize advanced artificial intelligence (AI) for predictive traffic management and optimized task allocation. By enhancing operator interfaces and improving system responsiveness, these advancements aim to create a more reliable and intuitive framework of remote operation that safeguards human oversight and control. This research sets the groundwork for future developments in automated vehicle operations and highlights the importance of human-centered design in achieving safe and efficient transportation solutions with AI assistance.

0103機械力学・制御
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