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Title Coverage and Distinguishability Requirements for Traffic Flow Monitoring Systems
ID_Doc 44748
Authors Zheng, HY; Chang, W; Wu, J
Title Coverage and Distinguishability Requirements for Traffic Flow Monitoring Systems
Year 2016
Published
DOI
Abstract Traffic flow monitoring systems aim to measure and monitor vehicle trajectories in smart cities. Their critical applications include vehicle theft prevention, vehicle localization, and traffic congestion solution. This paper studies an RoadSide Unit (RSU) placement problem in traffic flow monitoring systems. Given some traffic flows on streets, the objective is to place a minimum number of RSUs to cover and distinguish all traffic flows. A traffic flow is covered and distinguishable, if the set of its passing RSUs is non-empty and unique among all traffic flows. The RSU placement problem is NP-hard, monotonic, and non-submodular. It is a non-trivial extension of the traditional set cover problem that is submodular. We show that, to cover and distinguish an arbitrary pair of traffic flows (f and f'), two RSUs should be placed on streets from two different subsets of f\fl ', f ''\f, and f boolean AND f '. Three bounded RSU placement algorithms are proposed. Their approximation ratios are n In n(n-1)/2, n+1/2 In 3n(n-1)/2, and In n+1/2 respectively. Here, n is the number of given traffic flows. Extensive real data-driven experiments demonstrate the efficiency and effectiveness of the proposed algorithms.
Author Keywords Traffic flow tracking systems; RSU placement; coverage and distinguishability; smart city
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Conference Proceedings Citation Index - Science (CPCI-S)
EID WOS:000389832500047
WoS Category Computer Science, Theory & Methods; Engineering, Electrical & Electronic
Research Area Computer Science; Engineering
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