智能驾驶对公路运输系统效率的影响

M. Nekoui, H. Pishro-Nik, Daiheng Ni
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引用次数: 12

摘要

最近,美国交通部(USDOT)提出了智能驾驶计划,以提高道路安全和效率。在这项研究中,我们提供了一个数学框架来预测这些技术在实际部署之前对多车道公路系统效率的影响。我们的研究将包括各种辅助、自动和无装备车辆并存的混合交通状况。我们表明,车际通信通过减少驾驶员的感知反应(P-R)时间来改善车辆流量,并且在某些情况下,允许更有效的变道操作。我们将看到,与后者不同的是,无论具体的交通状况如何,前者对驾驶员P-R时间的影响始终存在。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Effect of IntelliDrive on the Efficiency of Highway Transportation Systems
Recently, the IntelliDrive initiative has been proposed by the US Department of Transportation (USDOT) to enhance on-road safety and efficiency. In this study, we provide a mathematical framework which predicts the effect of such technologies on the efficiency of multilane highway systems prior to their real-life deployment. Our study shall encompass mixed traffic conditions in which a variety of assisted, automated and unequipped vehicles coexist. We show that intervehicular communications improves the flow of vehicles by reducing the perception-reaction (P-R) times of drivers and, in some cases, allowing for more efficient lane-changing operations. As we shall see, unlike the latter, the former effect of IntelliDrive on driver P-R time is always there, regardless of the specific traffic conditions.
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