

FOLLOWUS
School of Computer Engineering, Iran University of Science and Technology, Narmak, Tehran, P.O. Box 13114-16846, Iran
[ "Hossein GHAFFARIAN, E-mail: Ghaffarian@iust.ac.ir" ]
[ "Mohsen SORYANI, E-mail: Soryani@iust.ac.ir" ]
Mahmood FATHY, E-mail: MahFathy@iust.ac.ir
Received:26 March 2012,
Revised:2012-10-12,
Published:2012-12
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Hossein GHAFFARIAN, Mohsen SORYANI, Mahmood FATHY. Planning VANET infrastructures to improve safety awareness in curved roads[J]. Frontiers of Information Technology & Electronic Engineering, 2012, 13(12): 918-928.
Hossein GHAFFARIAN, Mohsen SORYANI, Mahmood FATHY. Planning VANET infrastructures to improve safety awareness in curved roads[J]. Frontiers of Information Technology & Electronic Engineering, 2012, 13(12): 918-928. DOI: 10.1631/jzus.C1200082.
We analyze the effect of using a vehicular ad-hoc network (VANET) on accident avoidance. As shown in our analysis
a higher frequency of safety packets can prevent accidents
even for high speed vehicles and dense roads. To overcome connec tivity problems in blind crossing situations
a genetic algorithm (GA) based method is presented for VANET infrastructure plan ning. The proposed approach tries to remove coverage sight holes in low sight distance cases in a traveling path in the road. In such places
drivers might not have enough sight for proper action and also environmental obstacles prevent direct communication between vehicles. Furthermore
curved roads affect mobility. Simulation results show that the density of vehicles is increased right before a curve and is decreased after that. Therefore
in this kind of road
a high frequency of packet generation may not act well in accident avoidance. The method proposed in this paper tries to cover such places considering the lowest safety distances according to traffic theory. For this
the road must be covered directly by infrastructure. Therefore
the problem is to find the best number and also positions of road side units. Using GA
the algorithm minimizes the summation of total uncovered and overlapped points in the roads which are covered by more than one antenna. Simulation on a real road map confirmed the capabilities of the proposed approach.
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