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Front. Inform. Technol. Electron. Eng.  2012, Vol. 13 Issue (12): 918-928    DOI: 10.1631/jzus.C1200082
    
Planning VANET infrastructures to improve safety awareness in curved roads
Hossein Ghaffarian, Mohsen Soryani, Mahmood Fathy
School of Computer Engineering, Iran University of Science and Technology, Narmak, Tehran, P.O. Box 13114-16846, Iran
Planning VANET infrastructures to improve safety awareness in curved roads
Hossein Ghaffarian, Mohsen Soryani, Mahmood Fathy
School of Computer Engineering, Iran University of Science and Technology, Narmak, Tehran, P.O. Box 13114-16846, Iran
 全文: PDF 
摘要： 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 connectivity problems in blind crossing situations, a genetic algorithm (GA) based method is presented for VANET infrastructure planning. 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.
关键词： VANET;  Infrastructure;  Traffic theory;  Minimum safety requirement;  Genetic algorithm    
Abstract: 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 connectivity problems in blind crossing situations, a genetic algorithm (GA) based method is presented for VANET infrastructure planning. 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.
Key words: VANET    Infrastructure    Traffic theory    Minimum safety requirement    Genetic algorithm
收稿日期: 2012-03-26 出版日期: 2012-12-09
CLC:  TP393  
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Hossein Ghaffarian
Mohsen Soryani
Mahmood Fathy

引用本文:

Hossein Ghaffarian, Mohsen Soryani, Mahmood Fathy. Planning VANET infrastructures to improve safety awareness in curved roads. Front. Inform. Technol. Electron. Eng., 2012, 13(12): 918-928.

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http://www.zjujournals.com/xueshu/fitee/CN/10.1631/jzus.C1200082    或    http://www.zjujournals.com/xueshu/fitee/CN/Y2012/V13/I12/918

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