01660936

Component

https://rosap.ntl.bts.gov/view/dot/49462

In 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.

This paper was sponsored by TRB committee AHB15 Standing Committee on Intelligent Transportation Systems.

18-05631

English

17p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; Maps; References; Tables

Arterial highways; Connected vehicles; Dedicated short range communications; Information dissemination; Intelligent vehicles; Macroscopic traffic flow; Mathematical models; Microsimulation; Urban areas; Vehicle to vehicle communications; Wireless communication systems

Paramics (Computer program)

Brooklyn (New York, New York)

Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment

Transportation Research Board Annual Meeting 2018 Paper #18-05631

NTL, TRIS, TRB, ATRI

Jan 8 2018 11:26AM