Adaptive advisory speed limit dissemination using vehicular communication

A. Jalooli, M. Jabbarpour, Hossein Malakootikhah, Erfan Shaghaghi, Ali Marefat, R. M. Noor
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引用次数: 1

Abstract

Variable speed limits (VSLs) have been investigated for decades to modify the speed limit based on the prevailing road circumstances. VSLs have increasingly reaped attention as a means to enhance road traffic safety. In this study pros and cons of the VSL systems, and factors that affect on VSL impacts is summarized. Despite the potential effectiveness of utilizing VSLs, the success of this system is impacted by several factors such as VSL strategy used and the level of driver compliance. It is found that the level of driver compliance could be depends on vehicles' safety capabilities. Therefore, we have introduced an Adaptive Advisory Speed Limit Dissemination (AASLD) architecture which uses a novel VSL control strategy to ameliorate driver compliance with speed limits. The current speed limit determine based upon the vehicle safety capabilities (e.g. vehicle type, size, weight, safety features) in addition to traffic and road conditions. The simulation results showed prominently that AASLD improves traffic flow efficiency and occupancy. In addition, the results demonstrate that utilization of Vehicular ad-hoc network technology in AASLD has evidently reduced the incident detection time up to 31.2 percent and appliance of safe speed limit in comparison with traditional VSL strategies.
基于车辆通信的自适应咨询限速传播
可变速度限制(VSLs)已经研究了几十年,以根据当时的道路情况修改速度限制。自动驾驶汽车作为提高道路交通安全的一种手段,越来越受到人们的关注。本研究总结了VSL系统的优缺点,以及影响VSL影响的因素。尽管使用VSL具有潜在的有效性,但该系统的成功受到几个因素的影响,例如所使用的VSL策略和驾驶员的合规水平。研究发现,驾驶员的合规程度可能取决于车辆的安全能力。因此,我们引入了一种自适应咨询限速传播(AASLD)架构,该架构使用一种新颖的VSL控制策略来改善驾驶员对限速的遵从性。目前的速度限制是根据车辆的安全能力(例如车辆类型、尺寸、重量、安全特性)以及交通和道路状况来确定的。仿真结果表明,AASLD显著提高了交通流效率和占用率。此外,结果表明,在AASLD中使用车载自组织网络技术,与传统的VSL策略相比,事故检测时间缩短了31.2%,安全限速的应用也明显减少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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