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Digital Library of the
European Council for Modelling and Simulation |
Title: |
Detecting Traffic Conditions Model Based On Clustering Nodes
Situations In VANET |
Authors: |
Ayman Abufanas, Evtim Peytchev |
Published in: |
(2015).ECMS 2015 Proceedings edited
by: Valeri M. Mladenov, Grisha Spasov, Petia Georgieva, Galidiya Petrova, European
Council for Modeling and Simulation. doi:10.7148/2015 ISBN:
978-0-9932440-0-1 29th
European Conference on Modelling and Simulation, Albena (Varna), Bulgaria,
May 26th – 29th,
2015 |
Citation
format: |
Ayman Abufanas, Evtim Peytchev (2015).
Detecting Traffic Conditions Model
Based On Clustering Nodes Situations In VANET, ECMS 2015 Proceedings edited
by: Valeri M. Mladenov, Petia Georgieva, Grisha Spasov, Galidiya Petrova European Council for Modeling and Simulation. doi:10.7148/2015-0511 |
DOI: |
http://dx.doi.org/10.7148/2015-0511 |
Abstract: |
In the last decade, cooperative
vehicular network has been one of the most studied areas for developing the intelligent
transportation systems (ITS). It is considered as an important approach to
share the periodic traffic situations over vehicular ad hoc networks (VANETs) to improve efficiency and safety over the road.
However, there are a number of issues in exchanging traffic data over high
mobility of VANET, such as broadcast storms, hidden nodes and network
instability. This paper proposes a new model to detect the traffic conditions
using clustering traffic situations that are gathered from the nodes
(vehicles) in VANET. The model designs new principles of multi-level
clustering to detect the traffic condition for road users. Our model (a)
divides the situations of vehicles into clusters, (b) designs a set of
metrics to get the correlations among vehicles and (c) detects the traffic
condition in certain areas. These metrics are simulated using the network
simulator environment (NS-3) to study the effectiveness of the model. |
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