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Vehicle-to-vehicle (V2V) wireless communication can prevent accidents by allowing one vehicle to exchange information about their speed, location, and heading with other vehicles around it. A V2V system could deliver warnings to the driver through some combination of visual, tactile, and audible alerts such as do-not-pass and blind-spot warnings. V2V communication messages have a range of more than 300 meters and can detect dangers obscured by traffic, terrain, or weather.

INTEGRATION Large-Scale Modeling Framework of Direct Cellular Vehicle-to-All (C-V2X) Applications

Mohamed M. G. Farag • Hesham A. Rakha • Emadeldin A. Mazied • Jayanthi Rao

Mar 18, 2021


Classifying travelers' driving style using basic safety messages generated by connected vehicles: Application of unsupervised machine learning

Amin Mohammadnazar • Ramin Arvin • Asad J. Khattak

Dec 16, 2020

Transportation Research Part C: Emerging Technologies

A Hierarchical Model-Based Optimization Control Approach for Cooperative Merging by Connected Automated Vehicles

Na Chen • Bart Van Arem • Tom Alkim • Meng Wang

Jul 21, 2020

IEEE Transactions on Intelligent Transportation Systems

A Novel On-Ramp Merging Strategy for Connected and Automated Vehicles Based on Game Theory

Haigen Min • Yukun Fang • Runmin Wang • Xiaochi Li • Zhigang Xu • Xiangmo Zhao

Jul 8, 2020

Journal of Advanced Transportation

Sensor and Map-Aided Cooperative Beam Tracking for Optical V2V Communications

Mattia Brambilla • Dario Tagliaferri • Monica Nicoli • Umberto Spagnolini

Jun 30, 2020

2020 IEEE 91st Vehicular Technology Conference

Sensor-Aided V2X Beam Tracking for Connected Automated Driving: Distributed Architecture and Processing Algorithms

Mattia Brambilla • Andrea Matera • Dario Tagliaferri • Monica Nicoli • Umberto Spagnolini

Jun 24, 2020


Optimizing Vehicle Routing for Simultaneous Delivery and Pick-Up Considering Reusable Transporting Containers: Case of Convenience Stores

Intaek Gong • Kyungho Lee • Jaewon Kim • Yunhong Min • KwangSup Shin

May 19, 2020


The impact of driving homogeneity due to automation and cooperation of vehicles on uphill freeway sections

Michail Makridis • Ludovic Leclercq • Konstantinos Mattas • Biagio Ciuffo

Mar 17, 2020

European Transport Research Review

The extent of reliability for vehicle-to-vehicle communication in safety critical applications: an experimental study

Mohammad A. Hoque • Jackeline Rios-Torres • Ramin Arvin • Asad J. Khattak • Salman Ahmed

Feb 13, 2020

Journal of Intelligent Transportation Systems

Modeling Discretionary Lane Changing Decisions for Connected Vehicles Based on Fuzzy Logic

Agustin Guerra • Mohamad Amin Asgharzadeh • Alexandra Kondyli

Jan 1, 2020

Conference: Transportation Research Board 2020

Traffic State Estimation Based on Kalman Filter Technique using Connected Vehicle V2V Basic Safety Messages

Rongsheng Chen • Michael W. Levin

Nov 28, 2019

2019 IEEE Intelligent Transportation Systems Conference 

Design and Experimental Validation of a Distributed Interaction Protocol for Connected Autonomous Vehicles at a Road Intersection

Marco Di Vaio • Paolo Falcone • Robert Hult • Alberto Petrillo • Alessandro Salvi • Stefanio Santini

Aug 7, 2019

IEEE Transactions on Vehicular Technology

RF-Assisted Free-Space Optics for 5G Vehicle-to-Vehicle Communications

Mattia Brambilla • Andrea Matera • Dario Tagliaferri • Monica Nicoli • Umberto Spagnolini

Jul 11, 2019

 2019 IEEE International Conference on Communications Workshops

Distributed Robust PID Control For Leader Tracking in Uncertain Connected Ground Vehicles With V2V Communication Delay

Giovanni Fiengo • Dario Giuseppe Lui • Alberto Petrillo • Stefania Santini • Manuela Tufo

Mar 25, 2019

 IEEE/ASME Transactions on Mechatronics

How instantaneous driving behavior contributes to crashes at intersections: Extracting useful information from connected vehicle message data

Ramin Arvin • Mohsen Kamrani • Asad J. Khattak

Mar 7, 2019

Accident Analysis & Prevention

How Locals Need to Prepare for the Future of V2V/V2I Connected Vehicles

Gordon Parikh • Melissa Duhn • John Hourdos

Jan 8, 2019

Minnesota Department of Transportation

Instantaneous Driving Behavior at Intersections: Insights on Rear-End and Head-On Crash Frequencies Using Connected Vehicles

Ramin Arvin • Mohsen Kamrani • Asad J. Khattak

Jan 1, 2019

Transportation Research Board (TRB)

Extracting Useful Information from Basic Safety Message Data: An Empirical Study of Driving Volatility Measures and Crash Frequency at Intersections

Mohsen Kamrani • Ramin Arvin • Asad J. Khattak

May 15, 2018

Transportation Research Record Journal of the Transportation Research Board

Transportation Planning for Connected Autonomous Vehicles: How It All Fits Together

Bobby J. Cottam

Mar 29, 2018

Transportation Research Record Journal of the Transportation Research Board

I-94 Connected Vehicles Testbed Operations and Maintenance

Melissa Duhn • Gordon Parikh • John Hourdos

Jun 1, 2016

Center for Transportation Studies, University of Minnesota

Geofencing-Based Localization for 3D Data Acquisition Navigation

M. Nakagawa • T. Kamio • H. Yasojima • T. Kobayashi

Jan 6, 2016

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

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