Empirical Study of Traffic Velocity Distribution and its Effect on VANETs Connectivity
In this article the authors use real traffic data to confirm that vehicle velocities follow Gaussian distribution in steady state traffic regimes (free-flow, and congestion). The authors also show that in the transition between free-flow and congestion, the velocity distribution is better modeled by generalized extreme value distribution (GEV). The authors study the effect of the different models on estimating the probability distribution of connectivity duration between vehicles in vehicular ad-hoc networks.
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Supplemental Notes:
- Copyright © 2014, IEEE.
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Corporate Authors:
Institute of Electrical and Electronics Engineers (IEEE)
3 Park Avenue, 17th Floor
New York, NY United States 10016-5997 -
Authors:
- Abuelenin, Sherif M
- Abul-Magd, Adel Y
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Conference:
- 2014 International Conference on Connected Vehicles and Expo (ICCVE)
- Location: Vienna , Austria
- Date: 2014-11-3 to 2014-11-7
- Publication Date: 2015
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 391-395
- Monograph Title: 2014 International Conference on Connected Vehicles and Expo (ICCVE)
Subject/Index Terms
- TRT Terms: Connectivity; Real time information; Traffic congestion; Traffic data; Traffic distribution; Traffic flow; Traffic volume; Vehicular ad hoc networks
- Uncontrolled Terms: Generalized extreme value models
- Subject Areas: Highways; Operations and Traffic Management; Vehicles and Equipment;
Filing Info
- Accession Number: 01617127
- Record Type: Publication
- ISBN: 9781479967308
- Files: TRIS
- Created Date: Nov 21 2016 1:42PM