ABSTRACT The implementation of connected and automated vehicle (CAV) technologies enables a novel computational framework to deliver real-time control actions that optimise travel time, energy, and safety. Hardware is an integral part of any practical implementation of CAVs, and as such, it should be incorporated in any validation method. However, high costs associated with full scale, field testing of CAVs have proven to be a significant barrier. In this paper, we present the implementation of a decentralised control framework, which was developed previously, in a scaled-city using robotic CAVs, and discuss the implications of CAVs on travel time. Supplemental information and videos can be found at https://sites.google.com/view/ud-ids-lab/tfms.

中文翻译：

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使用规模化的智慧城市演示省时的移动系统

摘要 联网和自动驾驶汽车 (CAV) 技术的实施使新的计算框架能够提供优化旅行时间、能源和安全的实时控制操作。硬件是任何 CAV 实际实施的组成部分，因此，它应该被纳入任何验证方法中。然而，与 CAV 的全尺寸现场测试相关的高成本已被证明是一个重大障碍。在本文中，我们介绍了使用机器人 CAV 在规模化城市中实现的分散控制框架，该框架之前开发过，并讨论了 CAV 对旅行时间的影响。可以在 https://sites.google.com/view/ud-ids-lab/tfms 找到补充信息和视频。