Analytical Modeling of Information Dissipation in Urban Arterials with Connected Vehicles
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.
- Record URL:
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Supplemental Notes:
- This paper was sponsored by TRB committee AHB15 Standing Committee on Intelligent Transportation Systems.
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Authors:
- Kurkcu, Abdullah
- Ozbay, Kaan
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Conference:
- Transportation Research Board 97th Annual Meeting
- Location: Washington DC, United States
- Date: 2018-1-7 to 2018-1-11
- Date: 2018
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; Maps; References; Tables;
- Pagination: 17p
Subject/Index Terms
- TRT Terms: 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
- Identifier Terms: Paramics (Computer program)
- Geographic Terms: Brooklyn (New York, New York)
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment;
Filing Info
- Accession Number: 01660936
- Record Type: Publication
- Report/Paper Numbers: 18-05631
- Files: NTL, TRIS, TRB, ATRI
- Created Date: Feb 22 2018 9:18AM