|
Digital Library of the
European Council for Modelling and Simulation |
Title: |
Utilization Of Broadcast Methods For Detection Of The Road
Conditions In VANET |
Authors: |
EmadEddin A. Gamati, Evitm Peytchev, Richard Germon, Li Yueyue |
Published in: |
(2012).ECMS
2012 Proceedings edited by: K. G. Troitzsch, M. Moehring, U. Lotzmann. European
Council for Modeling and Simulation. doi:10.7148/2012 ISBN:
978-0-9564944-4-3 26th
European Conference on Modelling and Simulation, Shaping reality through simulation Koblenz,
Germany, May 29 – June 1 2012 |
Citation
format: |
Gamati, E. A., Peytchev,
E., Germon, R., & Li, Y. (2012). Utilization Of
Broadcast Methods For Detection Of The Road Conditions In VANET. ECMS 2012
Proceedings edited by: K. G. Troitzsch, M. Moehring, U. Lotzmann
(pp. 380-385). European Council for Modeling and Simulation. doi:10.7148/2012-0380-0385 |
DOI: |
http://dx.doi.org/10.7148/2012-0380-0385 |
Abstract: |
Vehicle
to vehicle communication (V2VC) is one of the modern approaches for
exchanging and generating traffic information with (yet to be realised) potential to improve road safety, driving
comfort and traffic control. In this paper, we present a novel algorithm
which is based on V2V communication, uses in-vehicle sensor information and
in collaboration with the other vehicles’ sensor information can detect road
conditions and determine the geographical area where this road condition
exists – e.g. geographical area where there is traffic density, unusual
traffic behaviour, a range of weather conditions
(raining), etc. The built-in automatic geographical restriction of the data
collection, aggregation and dissemination mechanisms allows warning messages
to be received by other cars, not necessarily sharing the identified road
condition, which may then be used to identify the optimum route taken by the
vehicle e.g. avoid bottlenecks or dangerous areas including accidents or
congestions on their Proceedings 26th European Conference on Modelling and Simulation ©ECMS Klaus G. Troitzsch, Michael Möhring, Ulf
Lotzmann (Editors) ISBN: 978-0-9564944-4-3 / ISBN:
978-0-9564944-5-0 (CD) current routes. The Traffic
Condition Detection Algorithm (TCDA) - which we propose here - is simple, flexible and fast and does not
rely on any kind of roadside infrastructure equipment. It will offer live
road conditions information channels at - almost - no cost to the drivers and
public/private traffic agencies and has the potential to become indispensable
part of any future intelligent traffic system (ITS). The benefits from
applying this algorithm in traffic networks are identified and quantified
through building a simulation model for the widely used Network Simulator II
(NS2). |
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