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Open Problems in Transportation Engineering with Connected and Autonomous Vehicles

机译:联网和自动驾驶汽车运输工程中的开放性问题

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摘要

In recent decades, technologies that can lead to fully automated driving have had a rapid development. In this framework, 'road transport automation' can potentially result in significant changes to the operation of road systems throughout the world. It is impossible to foresee how long it will take to realize such potential changes, because there are many uncertainties about both the technologies to deploy, and the policy environment where they should be deployed. 'Full automation' is the future of road transport, but the transition from manual to fully autonomous vehicles is especially dependent on the interactions between humans and automation, but also between automated vehicles and manual vehicles, and between automated vehicles and infrastructure. In the above context, this paper, after introducing some open problems related to automated vehicles, focuses on a particular one, consisting of the simplified evaluation of the equilibrium points achievable by a mixed flow with different percentages of automated vehicles. The aim of the considered problem is to provide a first general estimation of the performance of an existing network in various scenarios, characterized by different percentages of autonomous vehicles and mobility demand. More in detail, a simplified kinematic supply model is introduced to assess the link flow/cost performances, aiming at estimating the potential congestion reduction. An application to a real word network is described, and the relevant results are reported and discussed.
机译:近几十年来,可导致全自动驾驶的技术得到了飞速发展。在这种框架下,“道路运输自动化”可能会导致全世界道路系统的运行发生重大变化。无法预见要实现这种潜在变化需要花费多长时间,因为要部署的技术以及应将其部署到的政策环境都存在许多不确定性。 “全自动化”是公路运输的未来,但是从手动到全自动的过渡尤其取决于人与自动化之间的相互作用,也取决于自动化与手动之间以及自动化与基础设施之间的相互作用。在上述背景下,本文在介绍了一些与自动化车辆有关的开放性问题之后,重点研究了一个特定的问题,包括简化评估通过混合流量与不同百分比的自动化车辆可实现的平衡点。所考虑的问题的目的是提供以各种情况为特征的自动驾驶车辆和机动性需求的不同特征的现有网络的性能的第一一般估计。更详细地,引入了简化的运动学供应模型来评估链路流量/成本性能,旨在估计潜在的拥塞减少。描述了在真实单词网络中的应用,并报告和讨论了相关结果。

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