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混合交通中的合作变道：一种深度强化学习方法

IF 3.6 2区 工程技术 Q2 TRANSPORTATION
Transportmetrica A-Transport Science Pub Date : 2024-04-18 DOI:10.1080/23249935.2024.2343048
Xue Yao, Zhaocheng Du, Zhanbo Sun, Simeon C. Calvert, Ang ji
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引用次数: 0

摘要

深度强化学习（DRL）在自动驾驶汽车决策和执行控制方面取得了显著进展，从而改善了交通性能。本文介绍了一种基于 DRL 的机械...
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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Cooperative lane-changing in mixed traffic: a deep reinforcement learning approach
Deep Reinforcement Learning (DRL) has made remarkable progress in autonomous vehicle decision-making and execution control to improve traffic performance. This paper introduces a DRL-based mechanis...
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来源期刊
Transportmetrica A-Transport Science
Transportmetrica A-Transport Science TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
8.10
自引率
12.10%
发文量
55
期刊介绍： Transportmetrica A provides a forum for original discourse in transport science. The international journal''s focus is on the scientific approach to transport research methodology and empirical analysis of moving people and goods. Papers related to all aspects of transportation are welcome. A rigorous peer review that involves editor screening and anonymous refereeing for submitted articles facilitates quality output.
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