Analytical Modeling of Information Dissipation in Urban Arterials with Connected Vehicles

Kurkcu, Abdullah; Ozbay, Kaan; Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART)

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Analytical Modeling of Information Dissipation in Urban Arterials with Connected Vehicles

2017-08-01
By Kurkcu, Abdullah ; Ozbay, Kaan

[PDF-601.16 KB]

English

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Creators:

Kurkcu, Abdullah ; Ozbay, Kaan

Kurkcu, Abdullah ; Ozbay, Kaan Less -
Corporate Creators:

Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART)
Subject/TRT Terms:

[+]

Arterial Highways Connected Vehicles Dedicated Short Range Communications DSRC Epidemic Models Information Dissemination Intelligent Vehicles Macroscopic Traffic Flow Mathematical Models Micro-simulation Microsimulation SEIR SIR Urban Areas V2V Vehicle To Vehicle Communications Wireless Communication Wireless Communication Systems
Resource Type:

Manuscript
Geographical Coverage:

United States
Corporate Publisher:

Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART)
Abstract:

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.
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PDF
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

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urn:sha256:a18ae962db5b9f778dbf0774a9372b7d56d464066fabf7ec5ca8737f47456590
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https://rosap.ntl.bts.gov/view/dot/49462/dot_49462_DS1.pdf
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Analytical Modeling of Information Dissipation in Urban Arterials with Connected Vehicles

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