Traffic Density Estimation: A Mobile Sensing Approach
Traffic Density Estimation: A Mobile Sensing Approach
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DOI：
10.1109/mcom.2017.1700693
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发表时间：
2017-12-01
影响因子：
11.2
通讯作者：
Leakkaw, Puttipong
中科院分区：
文献类型：
--
作者：
Panichpapiboon, Sooksan;Leakkaw, Puttipong
交通密度是道路交通动力学建模中的基本交通变量之一。它测量车辆在所观察的道路空间上的拥挤程度。通常，交通密度是从固定传感器（如感应线圈检测器）收集的数据间接估计的。然而，使用固定传感器在成本和覆盖范围方面具有局限性。使用车辆作为移动的传感器更有效且更便宜。随着智能手机的广泛采用，移动的交通感测变得更加现实。在这篇文章中，我们探讨了只使用现成的智能手机的内置传感器进行交通密度估计的可能性。
Traffic density is one of the fundamental traffic variables used in modeling road traffic dynamics. It measures how packed the vehicles are on the observed road space. Typically, traffic density is estimated indirectly from the data collected by fixed sensors such as inductive loop detectors. However, using fixed sensors has limitations in terms of cost and coverage. It is more effective and less expensive to use vehicles as mobile sensors. With the wide adoption of smartphones, mobile traffic sensing has become more realizable. In this article, we explore the possibility of using only the built-in sensors of off-the-shelf smartphones for traffic density estimation.