Using vehicular networks to collect common traffic data
Using vehicular networks to collect common traffic data
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DOI：
10.1145/1614269.1614289
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发表时间：
2009-09
期刊：
影响因子：
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通讯作者：
H. Arbabi;Michele C. Weigle
中科院分区：
文献类型：
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作者：
H. Arbabi;Michele C. Weigle
州交通部门被要求每年向美国政府报告各种交通统计数据。目前，这些数据是使用较旧的技术测量的，这些技术容易出现故障，很难维护和修复。在本文中，我们提出使用车载自组织网络(VANET)来测量这些常见的交通数据。除了收集报告所需的信息外，基于VANET的交通监控还可以提供非常理想的指标，如旅行时间，而这些指标无法使用常用的交通监控方法直接测量。我们表明，在100%渗透率的情况下，我们的方法可以收集精确的交通数据，即使在低渗透率或低密度交通的情况下，我们也可以收集旅行时间、时间平均速度和空间平均速度的高质量估计。
State transportation departments are required to annually report various traffic statistics to the US government. Currently, this data is measured using older technologies that are susceptible to failure and are difficult to maintain and repair. In this paper, we propose using vehicular ad-hoc networks (VANETs) to measure this common traffic data. In addition to collecting information required for reporting purposes, VANET-based traffic monitoring can provide highly-desired metrics such as travel times, which cannot be directly measured using commonly used traffic monitoring approaches. We show that with 100% penetration rate, our methods can collect precise traffic data and that even with low penetration rates or low density traffic, we can collect high quality estimates of travel times, time mean speeds, and space mean speeds.