|
Digital Library of the
European Council for Modelling and Simulation |
Title: |
Collaborative Data Dissemination
Methods In VANETs For Identifying Road Conditions
Zone Boundaries |
Authors: |
Emadeddin A. Gamati, Richard Germon,
Evtim Peytchev |
Published in: |
(2013).ECMS 2013 Proceedings edited
by: W. Rekdalsbakken, R. T. Bye, H. Zhang European Council for Modeling
and Simulation. doi:10.7148/2013 ISBN:
978-0-9564944-6-7 27th
European Conference on Modelling and Simulation, Aalesund, Norway, May 27th –
30th, 2013 |
Citation
format: |
Emadeddin A. Gamati,
Richard Germon, Evtim Peytchev (2013). Collaborative Data Dissemination Methods
In VANETs For Identifying Road Conditions Zone
Boundaries, ECMS 2013 Proceedings edited by: W. Rekdalsbakken, R. T. Bye,
H. Zhang, European Council for Modeling and Simulation. doi:10.7148/2013-0372 |
DOI: |
http://dx.doi.org/10.7148/2013-0372 |
Abstract: |
Vehicle to vehicle
communication (V2VC) is a modern approach to 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 other vehicles’
sensor information, can detect road conditions and determine the geographical
area where these road conditions exist e.g. an 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 conditions, which may then be used to inform them of the
optimum route to take (to avoid bottlenecks or dangerous areas including accidents
or congestion on their current routes). We propose two approaches in this
paper that are simple, flexible and fast and do not rely on any kind of
roadside infrastructure equipment. They will offer live road condition
information channels at – almost – no cost to drivers and public/private
traffic agencies and have the potential to become an indispensable part of any
future intelligent traffic system (ITS). |
Full
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