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An adaptive approach for trialling fully automated vehicles in Queensland Australia: A brief report

机译：昆士兰州澳大利亚全自动车辆的自动化方法：简要报道

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Uncertainty of how fully automated vehicles (AVs) will interact with other road users, including vulnerable road users and other manual automated operated vehicles in towns is one major concern with introducing these vehicles. Based on Walker, Rahman, and Caves (2001) adaptive policymaking model, this paper illustrates how the adaptive approach can be applied to trial fully automated private vehicles. Specifically, the focus is on policy elements which surround consumer acceptance and other road users' acceptability of private AVs. The State of Queensland, Australia was selected as the focus of this paper given that there are no current policies for fully AVs in this country. It is acknowledged, however, that similar frameworks may also be applied outside of Australia. This paper will also briefly discuss legislation barriers for trialling private AVs in Australia, whilst reviewing the regulations which have been introduced to overcome these barriers at an international level. It was concluded that private AV policymaking is required to be flexible in order to keep up with continued advancements in technology, both in Australia and beyond.
机译：完全自动化车辆（AVS）的不确定性将与其他道路使用者互动，包括弱势道路用户和城镇的其他手动自动操作车辆是引入这些车辆的一个主要问题。基于Walker，Rahman和Caves（2001）自适应决策模型，本文说明了如何应用自适应方法来试用全自动私人车辆。具体来说，重点是围绕消费者接受和其他道路用户对私人AVS的可接受性的政策要素。澳大利亚昆士兰州的州被选为本文的重点鉴于这一国家的全面AV的目前没有政策。然而，它被承认，类似的框架也可以应用于澳大利亚之外。本文还将简要介绍澳大利亚试用私人AVS的立法障碍，同时审查引入的规定克服国际一级克服这些障碍。得出结论是，私人AV政策制定是灵活的，以便在澳大利亚及以外的技术方面保持持续的技术进步。

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