基于轨迹的道路变窄合作交通观测

IF 0.7 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS At-Automatisierungstechnik Pub Date : 2023-04-01 DOI:10.1515/auto-2023-0003
Laura Quante, Kay Gimm, C. Schießl
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引用次数: 1

摘要

摘要了解当今交通系统中的人类互动是开发公认的协同互动自动驾驶汽车的先决条件。本文致力于双边狭窄通道场景,并使用轨迹数据来研究驾驶员在从相反方向遇到对方时的互动行为。根据驾驶员的接近行为和到达顺序,分析了209次道路狭窄遭遇的轨迹数据。探索性分析表明,在这个特定的位置,已经形成了一种非正式的交通规则:主要决定谁首先通过了变窄的道路,而不是到达的顺序。这一结果表明,非正式规则会影响驾驶员的互动行为,因此在开发自动驾驶汽车时应予以考虑,以确保与人类道路使用者的安全高效接触。
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Trajectory-based traffic observation of cooperation at a road narrowing
Abstract Understanding human interactions in today’s transportation system is a prerequisite for developing well-accepted cooperatively interacting autonomous vehicles. This paper is devoted to the two-sided narrow passage scenario and uses trajectory data to investigate drivers’ interaction behavior when encountering each other from opposite directions. Trajectory data of 209 encounters at a road narrowing were analyzed in terms of drivers’ approaching behavior and arrival order. The exploratory analysis has shown that in this specific location an informal traffic rule has developed: It was not the order of arrival but the direction of travel that primarily determined who passed the road narrowing first. This result shows that informal rules can influence drivers’ interaction behavior and should accordingly be considered in the development of autonomous vehicles to ensure safe and efficient encounters with human road users.
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来源期刊
At-Automatisierungstechnik
At-Automatisierungstechnik 工程技术-自动化与控制系统
CiteScore
2.00
自引率
10.00%
发文量
99
审稿时长
6-12 weeks
期刊介绍: Automatisierungstechnik (AUTO) publishes articles covering the entire range of automation technology: development and application of methods, the operating principles, characteristics, and applications of tools and the interrelationships between automation technology and societal developments. The journal includes a tutorial series on "Theory for Users," and a forum for the exchange of viewpoints concerning past, present, and future developments. Automatisierungstechnik is the official organ of GMA (The VDI/VDE Society for Measurement and Automatic Control) and NAMUR (The Process-Industry Interest Group for Automation Technology). Topics control engineering digital measurement systems cybernetics robotics process automation / process engineering control design modelling information processing man-machine interfaces networked control systems complexity management machine learning ambient assisted living automated driving bio-analysis technology building automation factory automation / smart factories flexible manufacturing systems functional safety mechatronic systems.
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