农村道路上半自动卡车排的操作和基础设施准备

Markus Metallinos Log, Maren Helene Rø Eitrheim, Kelly Pitera, Trude Tørset, Tomas Levin
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摘要

在高速公路上,卡车车队可以减少燃料消耗,提高道路安全性,简化卡车运输操作。然而,世界上大多数道路都是双向、双车道的农村道路,也就是说,卡车队列行驶的条件应该进行测试,以探索这些优势的程度。本文报告了在挪威北部进行的一项实地研究的结果,该研究在有隧道、山口和不利几何形状的农村道路上测试了三辆半自动卡车。车队管理和距离数据、视频、访谈和参与者之间的对话被用来评估在这样的道路上进行队列行驶是否可行。该系统在大多数道路条件下无需干预即可使用,在限速90公里/小时的平坦和宽阔道路上运行良好。然而,在急转弯时,它会遇到困难。在急转弯时,后面的卡车会加速,然后重新与前面的卡车相连,然后突然刹车,以恢复规定的距离。此外,由于卡车之间换挡不一致,陡峭的上坡也是个问题。表面上看,由于过大的跟随距离和波峰曲线上的次优速度分布,没有节省燃料。为了进一步了解卡车在农村道路上列队行驶的好处,我们建议使用v2v通信重新进行实地研究,允许更短的跟随距离,并首先执行手动驱动基线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Operational and Infrastructure Readiness for Semi-Automated Truck Platoons on Rural Roads
On highways, truck platooning may reduce fuel consumption, improve road safety and streamline trucking operations. However, most roads worldwide are two-way, two-lane rural roads, i.e., conditions for which truck platooning should be tested to explore the extent of those advantages. This paper reports findings from a field study undertaken in Northern Norway, testing a platoon of three semi-automated trucks on rural roads with tunnels, mountain passes and adverse geometries. Fleet management and distance data, videos, interviews and conversations between participants were used to assess whether platooning was feasible on such roads. The platooning system was used without interventions through most road conditions, and worked well on flat and wide roads with 90 km/h speed limits. However, it struggled in sharp horizontal curves, where the following trucks would speed up before regaining connection to their preceding truck and then brake abruptly to regain the prescribed distance. Moreover, steep uphills were problematic due to inconsistent gear shifting between the trucks. Seemingly, no fuel savings were achieved, due to excessive following distances and suboptimal speed profiles on crest curves. To obtain further insights into the benefits of truck platooning on rural roads, we suggest redoing the field study with V2V-communication, allowing for shorter following distances, and also performing a manual-driven baseline first.
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