Abstract | ||
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Adaptive Cruise Control (ACC) is an important component of any Advanced Driver Assistant System (ADAS) present in highly Autonomous Vehicle. In this paper, we have modeled and simulated a complex platooning system of such vehicles based on vehicular IoT, Cloudlets, and their ACC algorithm for determining the optimal Petri net that can be used for such modeling purposes. The architectures were modeled with timed stochastic Petri net as well as priority based Petri net for performing a comparative study. As our result, we could establish priority based Petri net as a better suited modeling tool for complex IoT system over timed stochastic Petri net. |
Year | DOI | Venue |
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2019 | 10.1109/WF-IoT.2019.8767292 | 2019 IEEE 5th World Forum on Internet of Things (WF-IoT) |
Keywords | Field | DocType |
Adaptive Cruise Control,Cloud,Cloudlet,V2X,Petri net,Autonomous Vehicles,Platooning | Petri net,Cloudlet,Advanced driver,Platoon,Cruise control,Computer science,Internet of Things,Computer network,Stochastic Petri net,Cloud computing,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-5386-4981-7 | 0 | 0.34 |
References | Authors | |
6 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tanmay Chakraborty | 1 | 0 | 0.34 |
shingo | 2 | 64 | 31.04 |
Mohd Anuaruddin Bin Ahmadon | 3 | 0 | 2.37 |
Soumya Kanti Datta | 4 | 249 | 29.23 |