Reliable sensor deployment for network traffic surveillance
Reliable sensor deployment for network traffic surveillance
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DOI：
10.1016/j.trb.2010.04.005
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发表时间：
2011-01-01
影响因子：
6.8
通讯作者：
Ouyang, Yanfeng
中科院分区：
文献类型：
--
作者：
Li, Xiaopeng;Ouyang, Yanfeng
新的传感器技术可以综合来自多个位置的分类车辆信息。本文提出了一种可靠的设施定位模型，除了单个传感器流量覆盖（例如，用于交通量统计）之外，还可以优化综合传感器对（例如，用于行程时间估计）的交通监控效益，同时考虑概率性传感器故障。提出了定制的贪婪算法和拉格朗日松弛算法来解决这个问题，并讨论了它们的性能。数值结果表明所提出的算法有效地解决了该问题。我们还讨论了关于最佳传感器部署和监视效益如何随监视目标和系统参数（例如传感器故障概率）变化的管理见解。 (C) 2010 Elsevier Ltd. 保留所有权利。
New sensor technologies enable synthesis of disaggregated vehicle information from multiple locations. This paper proposes a reliable facility location model to optimize traffic surveillance benefit from synthesized sensor pairs (e.g., for travel time estimation) in addition to individual sensor flow coverage (e.g., for traffic volume statistics), while considering probabilistic sensor failures. Customized greedy and Lagrangian relaxation algorithms are proposed to solve this problem, and their performance is discussed. Numerical results show that the proposed algorithms solve the problem efficiently. We also discuss managerial insights on how optimal sensor deployment and surveillance benefits vary with surveillance objective and system parameters (such as sensor failure probabilities). (C) 2010 Elsevier Ltd. All rights reserved.