Empirical Study of Traffic Velocity Distribution and its Effect on VANETs Connectivity
Networking and Internet Architecture
2016-05-20 v2 Physics and Society
Abstract
In this article we use real traffic data to confirm that vehicle velocities follow Gaussian distribution in steady state traffic regimes (free-flow, and congestion). We also show that in the transition between free-flow and congestion, the velocity distribution is better modeled by generalized extreme value distribution (GEV). We study the effect of the different models on estimating the probability distribution of connectivity duration between vehicles in vehicular ad-hoc networks.
Keywords
Cite
@article{arxiv.1502.07282,
title = {Empirical Study of Traffic Velocity Distribution and its Effect on VANETs Connectivity},
author = {Sherif M. Abuelenin and Adel Y. Abul-Magd},
journal= {arXiv preprint arXiv:1502.07282},
year = {2016}
}
Comments
5 pages, 5 figures, presented at the ICCVE 2014 (International conference on connected vehicles & expo); http://www.iccve.org/