了解公路系统车辆自组织网络的功能

R. Aldunate
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引用次数: 2

摘要

实时态势感知有可能改善关键情况下智能交通系统(ITS)组件的响应和管理。在突发或潜在危险的情况下,如有害物质泄漏或鲁莽驾驶,每一秒都很重要,以减少事件的总体影响。目前,对监测机构来说,评估路面恶化和识别不安全状况可能既昂贵又及时,而且往往需要对高速公路系统的用户进行交通控制和其他延误。利用车辆作为探测器来感知和收集这些数据,将为交通和机构规划者提供一个不断更新的网络视图。本文介绍了一个模型来分析通过车辆自组织网络(VANETs)实现公路系统近实时态势感知的可行性。每辆车都充当数据收集探头,收集表面摩擦和遇险等信息,并启用了短距离无线技术,允许将状态感知广播传播给其他车辆。分析表明,如果交通密度足够大,就有可能以近乎实时的方式在距离问题地点几公里远的地方提供警报。预计这种方法特别适用于关键的交通监测,例如与运输系统有关的应急管理和国土安全应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding the capabilities of a vehicle Ad-hoc Network for highway systems
Real time situational awareness has the potential to improve the response and management of intelligent transportation system (ITS) components in critical situations. In the event of sudden or potentially dangerous situations, such as hazardous material spills or reckless driving, every second counts to reduce the overall impact of the event. Currently, assessing surface deterioration and identifying unsafe conditions can be costly and timely to a monitoring agency, and often requires traffic control and other delays to the users of a highway system. Utilizing vehicles as probes to sense and collect these data would give traffic and agency planners a continuously updated view of the network. This article introduces a model to analyze the feasibility of achieving near-real-time situational awareness for highway systems by Vehicle Ad-hoc Networks (VANETs). Each vehicle acts as a data collection probe, gathering information such as surface friction and distress, and is enabled with short-range wireless technology, allowing condition awareness broadcasts to be propagated to other vehicles. The analysis suggests it would be possible to provide awareness up to several kilometers away from the location of the issue in a near-real-time manner, provided adequate traffic density. This approach is envisioned to be particularly suitable for critical traffic monitoring, such as in emergency management and homeland security applications related to transportation systems.
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