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Biologically inspired modeling of vehicle to vehicle communication for intelligent transportation systems applications
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Indrakanti, Teja. Biologically inspired modeling of vehicle to vehicle communication for intelligent transportation systems applications. Retrieved from https://doi.org/doi:10.7282/T3ZK5GDQ

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TitleBiologically inspired modeling of vehicle to vehicle communication for intelligent transportation systems applications
NameIndrakanti, Teja (author); Ozbay, Kaan (chair); Nassif, Hani (internal member); Najm, Husam (internal member); Rutgers University; Graduate School - New Brunswick
Date Created2010
Other Date2010-10 (degree)
SubjectCivil and Environmental Engineering, Intelligent transportation systems, Vehicle-infrastructure integration
Extentx, 144 p. : ill.
DescriptionIn this study we developed a macroscopic model for simulating the vehicle to vehicle communication process. Real-time information propagation via vehicle-to-vehicle communication is part of the Vehicle Infrastructure Integration (VII) initiative, aimed at
improving the traffic conditions on existing roadways. In VII, Vehicles communicate among themselves using wireless technology. Each vehicle broadcasts any available information regarding the roadway (which might include time taken to travel a small stretch, any hazardous conditions, incidents etc) and other vehicles upstream, which might not be aware of the conditions ahead, receive the information. In this thesis, a
fraction of the vehicles traveling on the network are assumed to be equipped with the wireless technology and have the ability to communicate. These are called the “instrumented” vehicles. The proposed model is based on the Susceptible – Infected –Removed (SIR) model that is used to model the spread of epidemics in a region. We call the vehicles that have received a signal from another vehicle as ‘infected vehicles’, and
those instrumented vehicles that have not received a wireless message are called ‘susceptible vehicles’. The present model predicts the number of infected vehicles present on the roadway at every instant of time. The model is developed for a variety of traffic conditions including different volumes, speed limits and number of lanes. Finally, it is validated using simulation results obtained from Paramics, a microscopic traffic simulation software. Various observations related to the process of vehicle to vehicle communication were also made.
NoteM.S.
NoteIncludes bibliographical references
Noteby Teja Indrakanti
Genretheses, ETD graduate
Persistent URLhttps://doi.org/doi:10.7282/T3ZK5GDQ
Languageeng
CollectionGraduate School - New Brunswick Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
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