Literature Database Entry

hosseini2013modeling


S.M. Hosseini, S. Yousefi and M.J.F. Ashrafi, "Modeling vehicle safety in vehicular networks using Markov chain model based on cooperative awareness," Proceedings of 21st Iranian Conference on Electrical Engineering (ICEE 2013), May 2013.

Abstract

Main concern of many safety applications in emergency situations is determining the safety of a vehicle respect to the other ones. Consecutive packet losses reduce the overall performance of a safety application which using vehicular networks as its source of awareness. Thus, determining the impact of consecutive packet losses on safety and awareness seems critical. However, speed, acceleration and losses, the other dynamic properties of the vehicles play an important role in determining number of tolerable packet and safety assessment process. In this paper, we model the safety and novel, awareness values according to consecutive packet losses using Markov chain model. Our model serves a and network, promising framework for analyzing a vehicle safety based on the current situation of the and the vehicle dynamical properties. This model gives us the channel situation as well as the vehicle risk value. In the proposed model, the uncertainty of the driver perception about an upcoming event due to the lack of information is also taken into account. Using this model, one can investigate the impact of distance and efficiently., velocity on safety

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S.M. Hosseini
S. Yousefi
M.J.F. Ashrafi

BibTeX reference

@inproceedings{hosseini2013modeling,
    author = {Hosseini, S.M. and Yousefi, S. and Ashrafi, M.J.F.},
    title = {{Modeling vehicle safety in vehicular networks using Markov chain model based on cooperative awareness}},
    booktitle = {21st Iranian Conference on Electrical Engineering (ICEE 2013)},
    keywords = {Markov processes;human factors;mobile radio;risk management;road safety;vehicle dynamics;Markov chain model;channel situation;consecutive packet loss impact determination;cooperative awareness;distance impact;driver perception uncertainty;emergency situations;overall performance reduction;safety assessment;tolerable packet loss determination;vehicle dynamical properties;vehicle risk value;vehicle safety determination;vehicle safety modeling;vehicular networks;velocity impact;Accidents;Markov processes;Mathematical model;Measurement;Reactive power;Safety;Vehicles;Awareness;Markov Chain Model;Safety Modeling;Vehicular Networks},
    year = {2013},
    month = {May},
    publisher = {IEEE},
    doi = {10.1109/IranianCEE.2013.6599819},
   }
   
   

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