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Impact of Automated Truck Platooning on the Performance of Freeway Mixed Traffic Flow

机译:自动卡车排列对高速公路混合交通流量的影响

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Vehicle platooning service through wireless communication and automated driving technology has become a reality. Vehicle platooning means that several vehicles travel like a train on the road with a minimum safety distance, which leads to the enhancement of safety, mobility, and energy savings. This study proposed a framework for exploring traffic mobility and safety performance due to the market penetration rate (MPR) of truck platoons based on microscopic traffic simulations. A platoon formation algorithm was developed and run on the VISSIM platform to simulate automated truck maneuvering. As a result of the mobility analysis, it was found that the difference in network mobility performance was not significant up to MPR 80%. Regarding the mobility performance of the truck-designated lane, it was found that the average speed was lower than in other lanes. In the truck-designated lane of the on-ramp section, the average speed was identified to be approximately 33% lower. From the viewpoint of network safety, increasing the MPR of the truck platoon has a positive effect on longitudinal safety but has a negative effect on lateral safety. The safety analysis of the truck-designated lane indicated that the speed difference by lane of MPR 100% is 2.5 times higher than that of MPR 0%. This study is meaningful in that it explores traffic flow performance on mobility and safety in the process of platoon formation. The outcomes of this study are expected to be utilized as fundamentals to support the novel traffic operation strategy in platooning environments.
机译:通过无线通信和自动化驾驶技术的车辆排放服务已成为现实。车辆排列意味着几辆车在道路上的火车上行驶,最小安全距离,这导致了安全性,移动性和节能的增强。本研究提出了一种框架,旨在探索由于卡车粘盘的市场渗透率(MPR)基于显微镜流量模拟的市场渗透率和安全性能。在Vissim平台上开发并运行了一个排压制算法,以模拟自动卡车操纵。由于流动性分析,发现网络流动性能的差异不大至MPR 80%。关于卡车指定车道的移动性能,发现平均速度低于其他车道。在斜坡部分的卡车指定的车道中,鉴定平均速度为约33%。从网络安全的角度来看,增加卡车排的MPR对纵向安全的积极影响,但对横向安全产生负面影响。卡车指定车道的安全分析表明MPR的速度差100%的速度高出比MPR 0%高2.5倍。本研究有意义,其探讨了分列形成过程中移动性和安全性的交通流量。预计本研究的结果将被用作支持在分列环境中的新型交通运营战略的基本面。

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