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Optimal Control of Connected and Automated Vehicles at Roundabouts: An Investigation in a Mixed-Traffic Environment ?

机译：回旋处的互联和自动车辆的最佳控制：混合交通环境中的调查 ？

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摘要

Connectivity and automation in vehicles provide the most intriguing opportunity for enabling users to better monitor transportation network conditions and make better operating decisions to improve safety and reduce pollution, energy consumption, and travel delays. This paper investigates the implications of optimally coordinating vehicles that are wirelessly connected to each other in roundabouts to achieve a smooth traffic flow. We apply an optimization framework and an analytical solution that allows optimal coordination of vehicles for merging in such traffic scenario. The effectiveness of the proposed approach is validated through simulation and it is shown that fully coordinated vehicles reduce total travel time by 51% and fuel consumption by 35%. Furthermore, we study the influence of vehicle coordination in a mixed-traffic environment and compare the network performance under different market penetration rates of connected and automated vehicles (CAVs). For this particular study with near-capacity demand, high penetration of CAVs is necessary to ensure an efficient and effective control, due to extremely unstable traffic.
机译：车辆的连接性和自动化为用户提供了最吸引人的机会，使用户能够更好地监控交通网络状况并制定更好的运营决策，从而提高安全性并减少污染，能耗和旅行延误。本文研究了在回旋处以无线方式相互连接以实现平稳交通流的最佳协调车辆的含义。我们应用了优化框架和分析解决方案，可以在这种交通情况下实现车辆的最佳协调。通过仿真验证了该方法的有效性，结果表明，完全协调的车辆可将总行驶时间减少51％，并将燃油消耗减少35％。此外，我们研究了混合交通环境下车辆协调的影响，并比较了联网和自动驾驶汽车（CAV）在不同市场渗透率下的网络性能。对于这种容量接近需求的特殊研究，由于交通极为不稳定，必须确保CAV的高渗透率以确保有效控制。

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