Autonomous vehicles (AVs) are the next-generation driver-less vehicular entities with advanced technologies. Overtaking is an important and challenging maneuver that needs to be frequently performed in diverse environments during the run. The maneuvering of AVs, in present scenarios, improves driving precision, fuel efficiency, and travel time and minimizes road accidents caused by human error, waiting time, carbon emission, etc. Despite all these benefits, AVs face several critical issues, such as traffic safety, market issues, environmental aspects, technical compatibility, market introduction, etc. In traffic safety, the overtaking scenario is considered one of the most complex driving maneuvers out of several driving maneuvers, such as lane changing, lane following, tailgating, and many more. Despite this, to the best of authors' knowledge, an extensive study on autonomous vehicular overtaking maneuvers still needs to be explored. Therefore, this survey aims to visualize the current methods used to enhance traffic safety in an intelligent transport system by handling the most complex driving maneuver in autonomous driving (overtaking). In this survey, we present the taxonomy, simulators, and methods used for AVs overtaking maneuver, and the state-of-the-art methods are further categorized under theoretical and AI-based techniques. Furthermore, the theoretical and AI-based techniques are classified based on the applications of the respective technique in overtaking maneuvers. While designing this survey, several theoretical and practical studies are taken into consideration. As the outcomes of this study, several research gaps, challenges, future research directions, and open research problems in overtaking maneuvers are identified. The outcomes of this study would be helpful for the researchers to carry out their research in the domain of AVs overtaking maneuvers.

自动驾驶汽车 (AV) 是具有先进技术的下一代无人驾驶车辆实体。超车是一项重要且具有挑战性的动作，需要在跑步过程中经常在不同的环境中进行。在目前的情况下，自动驾驶汽车的操纵提高了驾驶精度、燃油效率和旅行时间，并最大限度地减少了因人为错误、等待时间、碳排放等造成的道路事故。尽管有所有这些好处，自动驾驶汽车仍面临几个关键问题，例如交通安全、市场问题、环境方面、技术兼容性、市场引入等。在交通安全中，超车场景被认为是多种驾驶操作中最复杂的驾驶操作之一，例如变道、车道跟随、追尾等。更多的。尽管如此，据作者所知，仍然需要探索对自主车辆超车动作的广泛研究。因此，本次调查旨在可视化当前用于通过处理最复杂的驾驶操作来增强智能交通系统中的交通安全的方法。自动驾驶（超车）。在本次调查中，我们介绍了用于 AV 超车机动的分类法、模拟器和方法，并且最先进的方法进一步分为理论和基于 AI 的技术。此外，根据各自技术在超车操作中的应用，对理论技术和基于 AI 的技术进行了分类。在设计本调查时，考虑了多项理论和实践研究。作为这项研究的结果，确定了超车机动中的几个研究差距、挑战、未来研究方向和开放研究问题。这项研究的结果将有助于研究人员在 AVs 超车演习领域开展研究。