Analytical Modeling of Information Dissipation in Urban Arterials with Connected Vehicles

2017PDFManuscriptArterial highwaysConnected vehiclesDedicated short range communicationsInformation disseminationIntelligent vehiclesMacroscopic traffic flowMathematical modelsMicrosimulationUrban areasVehicle to vehicle communicationsWireless communication systemsepidemic modelsSIRSEIRmicro-simulationV2Vwireless communicationDSRCUnited StatesConnected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART)Kurkcu, AbdullahOzbay, KaanConnected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART)US Transportation CollectionIn this study the authors developed a macroscopic analytical model for modeling the vehicle-to-vehicle (V2V) communication process. The proposed information propagation methodology is based on the Susceptible-Infected-Removed (SIR) model that is used to model the spread of epidemics in a fixed region. The enhanced version of this epidemic model with the addition of exposed class is used to represent the information dissemination in connected vehicle (CV) environments. The proposed analytical model predicts the time it takes to inform all vehicles present on the given roadway. The model is developed in a way that it can adopt to a variety of connected vehicle market penetration levels. Finally, it is validated using simulation results obtained from a calibrated model coded using PARAMICS, traffic micro-simulation software. The results showed that the analytical model can accurately predict the contact rate of infected nodes which explains how fast the information will dissipate in dense urban conditions.93