大规模排兵布阵:长排互联车辆的信息网络结构

IF 4.6 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Mahdi Razzaghpour;Babak Ebrahimi Soorchaei;Rodolfo Valiente;Yaser P. Fallah
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引用次数: 0

摘要

通过研究 "车对万物"(V2X)通信,我们深入探讨了 "车辆排 "的概念。"车辆排 "是交通系统的一项重要创新,它开创了合作驾驶的新时代。这种新方法旨在提高燃油效率,改善整体交通流量。最关键的是,这一系统的成功依赖于车辆之间保持密切监控的距离,尤其是在高速行驶时,这取决于车辆之间通过无线通信通道进行快速可靠的数据交换,而这种通信通道本质上是不稳定的。通过无线数据交换提高排级效率的可能性显而易见,但解决数据丢失和延迟等网络问题至关重要。这些问题可能会影响排队功能,在实际应用中需要谨慎处理。由于车对车(V2V)通信的范围有限,目前的排车模型也很难与多辆车组成 "长 "排。快速高效的交通信息共享对于确保车辆有足够的时间做出反应至关重要。鉴于这些通信的安全关键性,可靠性和超低延迟都至关重要,尤其是在排车情况下。为了应对这些挑战,我们提出了一种基于距离的网络感知中继策略,专门用于长排联网车辆。我们的模拟结果表明,这种中继方法大大减少了通信故障,缩小了车辆之间的误差差距,而所有这一切都只需略微增加计算需求即可实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mass Platooning: Information Networking Structures for Long Platoons of Connected Vehicles
Investigating Vehicle-to-everything (V2X) communication, we dive into the concept of vehicle platoons, a key innovation in transport systems, introducing a new era of cooperative driving. This new approach is designed to enhance fuel efficiency and improve overall traffic flow. Crucially, the success of this system relies on keeping vehicles at closely monitored distances, particularly at high speeds, which depends on rapid and reliable data exchange among vehicles through a wireless communication channel that is intrinsically unstable. The possibility of improving platoon efficiency through wireless data exchange is clear, but addressing network issues such as data loss and delays is crucial. These problems can compromise platoon functionality and need careful handling for real-world applications. Present platooning models also struggle with forming ‘long’ platoons with multiple vehicles due to the limited range of Vehicle-to-Vehicle (V2V) communication. Quick and efficient traffic information sharing is crucial to ensure vehicles have adequate time to respond. Given the safety-critical nature of these communications, both reliability and ultra-low latency are essential, particularly in platooning contexts. To address these challenges, we suggest a distance-based, network-aware relaying policy specifically for long platoons of connected vehicles. The results of our simulations indicate that this relaying approach significantly decreases communication breakdowns and narrows the error gap between vehicles, all achieved with only a slight increase in computational demand.
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CiteScore
5.40
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