Constructing summarizations for V2V traffic data based on sampling methods

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with host publication)peer-review

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Detail(s)

Original languageEnglish
Title of host publication2010 IEEE Vehicular Networking Conference, VNC 2010
Pages139-143
Publication statusPublished - 2010

Conference

Title2010 IEEE Vehicular Networking Conference, VNC 2010
PlaceUnited States
CityJersey City, NJ
Period13 - 15 December 2010

Abstract

In vehicle-to-vehicle environment, vehicles interchange traffic data with each other. In this paper, three sampling methods in data stream theory are exploited in order to construct summarizations for these original data, since the original data are potentially unbounded in size and are impossible and unfeasible to be stored directly on the disk. Then traffic states, such as speed on any road, can be estimated based on the summarizations instead of the original data. The two measurements, absolute biases of speed and cover rates of information obtained from the constructed summarizations, are used in validating three methods' feasibility. Preliminary simulation results show three methods are feasible to some extent. © 2010 IEEE.

Citation Format(s)

Constructing summarizations for V2V traffic data based on sampling methods. / Zhang, Jiadong; Xu, Jin; Zhu, Chen et al.
2010 IEEE Vehicular Networking Conference, VNC 2010. 2010. p. 139-143 5698251.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with host publication)peer-review