V2V
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
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SENSORS
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
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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
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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
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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
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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
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SENSORS
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
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APPLIED SCIENCE
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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives