Paper Info
Title
Data Quantity For Reliable Traffic Information In Vehicular Ad Hoc Networks
Abstract
Vehicular ad hoc networks (VANETs) are promising platforms from which decentralized traffic information systems can be built. In VANETs, susceptible situations, such as communication disruptions and low market penetration, could cause a dearth of information to be provided. This study examined the minimum quantity of data required for reliable travel time measurement over a variety of traffic conditions. Individual travel time data were obtained from computer simulation. The premise of this study, which is that data quantities can be reduced in certain situations, has important implications for the statistical methodologies used to assess sample quality, since appropriate conditions for the Central Limit Theorem might not be met. We compare such results with a distribution-free method called Acceptance Probability. Importantly, unstable traffic conditions, which are those of greatest interest for the purposes of studying congestion, also contribute to reduction in sample sizes, regardless of the technical quality of the wireless system at any given time. We show that in many realistic cases, standard sample size techniques under-estimate the required sample sizes and therefore a more refined approach is called for when using these data for estimation purposes.
Year
DOI
Venue
2007
10.1109/VETECF.2007.299
2007 IEEE 66TH VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-5
Keywords
Field
DocType
Acceptance Probability, reliable traffic information, sample size, vehicular ad hoc network
Information system,Mobile radio,Central limit theorem,Market penetration,Wireless,Computer science,Computer network,Wireless ad hoc network,Sample size determination,Vehicular ad hoc network
Conference
ISSN
Citations 
PageRank 
1550-2252
0
0.34
References 
Authors
2
4
Name
Order
Citations
PageRank
Hyoung-soo Kim1306.48
David J. Lovell2103.34
Youn-soo Kang300.34
Wonkyu Kim441.04