Analytical modeling of vehicle-to-vehicle communication using spread of infection models

Teja Indrakanti, Kaan Ozbay, Sandeep Mudigonda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this study we propose a macroscopic analytical model for modeling the vehicle-to-vehicle (V2V) communication process. Real-time information propagation by V2V communication is part of the Vehicle Infrastructure Integration (VII) initiative, aimed at improving the traffic conditions on existing roadways. Vehicles communicate among themselves and pass information regarding congestion, unsafe pavement condition or accidents. This proposed information propagation model is based on the Susceptible-Infected-Removed (SIR) model that is used to model the spread of epidemics in a region. As an analogy, we call the vehicles that have received the signal as 'infected vehicles', and those instrumented vehicles that have not received the information are called 'susceptible vehicles'. The proposed 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, market share of instrumented vehicles, speed limits and number of lanes. Finally, it is validated using simulation results obtained from Paramics, traffic micro-simulation software.

Original languageEnglish (US)
Title of host publication2012 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2012
Pages217-222
Number of pages6
DOIs
StatePublished - 2012
Event2012 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2012 - Istanbul, Turkey
Duration: Jul 24 2012Jul 27 2012

Other

Other2012 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2012
CountryTurkey
CityIstanbul
Period7/24/127/27/12

Fingerprint

Vehicle to vehicle communications
Pavements
Analytical models
Accidents

Keywords

  • biological models
  • ITS
  • traffic safety
  • vehicle-to-vehicle communication

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality

Cite this

Indrakanti, T., Ozbay, K., & Mudigonda, S. (2012). Analytical modeling of vehicle-to-vehicle communication using spread of infection models. In 2012 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2012 (pp. 217-222). [6294311] https://doi.org/10.1109/ICVES.2012.6294311

Analytical modeling of vehicle-to-vehicle communication using spread of infection models. / Indrakanti, Teja; Ozbay, Kaan; Mudigonda, Sandeep.

2012 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2012. 2012. p. 217-222 6294311.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Indrakanti, T, Ozbay, K & Mudigonda, S 2012, Analytical modeling of vehicle-to-vehicle communication using spread of infection models. in 2012 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2012., 6294311, pp. 217-222, 2012 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2012, Istanbul, Turkey, 7/24/12. https://doi.org/10.1109/ICVES.2012.6294311
Indrakanti T, Ozbay K, Mudigonda S. Analytical modeling of vehicle-to-vehicle communication using spread of infection models. In 2012 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2012. 2012. p. 217-222. 6294311 https://doi.org/10.1109/ICVES.2012.6294311
Indrakanti, Teja ; Ozbay, Kaan ; Mudigonda, Sandeep. / Analytical modeling of vehicle-to-vehicle communication using spread of infection models. 2012 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2012. 2012. pp. 217-222
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