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Mohsen Kamrani
Mohsen Kamrani
Verified email at utk.edu
Title
Cited by
Cited by
Year
Safety evaluation of connected and automated vehicles in mixed traffic with conventional vehicles at intersections
R Arvin, AJ Khattak, M Kamrani, J Rio-Torres
Journal of Intelligent Transportation Systems 25 (2), 170-187, 2020
1172020
Extracting useful information from basic safety message data: An empirical study of driving volatility measures and crash frequency at intersections
M Kamrani, R Arvin, AJ Khattak
Transportation research record 2672 (38), 290-301, 2018
1152018
How instantaneous driving behavior contributes to crashes at intersections: Extracting useful information from connected vehicle message data
R Arvin, M Kamrani, AJ Khattak
Accident Analysis & Prevention 127, 118-133, 2019
1042019
Traffic simulation of two adjacent unsignalized T-junctions during rush hours using Arena software
M Kamrani, SMHE Abadi, SR Golroudbary
Simulation Modelling Practice and Theory 49, 167-179, 2014
892014
How is driving volatility related to intersection safety? A Bayesian heterogeneity-based analysis of instrumented vehicles data
B Wali, AJ Khattak, H Bozdogan, M Kamrani
Transportation research part C: emerging technologies 92, 504-524, 2018
812018
The role of pre-crash driving instability in contributing to crash intensity using naturalistic driving data
R Arvin, M Kamrani, AJ Khattak
Accident Analysis & Prevention 132, 105226, 2019
792019
Can data generated by connected vehicles enhance safety?: Proactive approach to intersection safety management
M Kamrani, B Wali, AJ Khattak
Transportation Research Record 2659 (1), 80-90, 2017
722017
Safety impacts of automated vehicles in mixed traffic
R Arvin, M Kamrani, AJ Khattak, J Rios-Torres
Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018
392018
Applying Markov decision process to understand driving decisions using basic safety messages data
M Kamrani, AR Srinivasan, S Chakraborty, AJ Khattak
Transportation Research Part C: Emerging Technologies 115, 102642, 2020
362020
The role of aggressive driving and speeding in road safety: Insights from SHRP2 naturalistic driving study data
M Kamrani, R Arvin, AJ Khattak
Transportation Research Board 98th Annual MeetingTransportation Research Board, 2019
262019
Analyzing highly volatile driving trips taken by alternative fuel vehicles
M Kamrani, R Arvin, AJ Khattak
arXiv preprint arXiv:1807.03861, 2018
172018
Examining the role of speed and driving stability on crash severity using shrp2 naturalistic driving study data
R Arvin, M Kamrani, AJ Khattak
Transportation Research Board 98th Annual MeetingTransportation Research Board, 2019
162019
Connected Vehicle Pilot Deployment Program Performance Measurement and Evaluation–Tampa (THEA) CV Pilot Phase 3 Evaluation Report
S Concas, A Kourtellis, M Kamrani, O Dokur, THE Authority
United States. Department of Transportation. Intelligent Transportation …, 2021
102021
A framework to process and analyze driver, vehicle and road infrastructure volatilities in real-time
M Kamrani, AJ Khattak, T Li
Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018
92018
Development of a real-time roadway debris hazard spotting tool using connected vehicle data to enhance roadway safety and system efficiency
S Concas, M Kamrani
Center for Transportation, Equity, Decisions and Dollars (CTEDD)(UTC), 2019
62019
Proactive congestion management via data-driven methods and connected vehicle-based microsimulation
VC Kummetha, M Kamrani, S Concas, A Kourtellis, O Dokur
Journal of Intelligent Transportation Systems, 1-17, 2022
42022
Longitudinal study of the covid-19 pandemic impact on activity travel using connected vehicle data
S Concas, A Kourtellis, V Kummetha, M Kamrani, M Rabbani, O Dokur
Transportation Research Record, 03611981221107006, 2022
32022
Safety impacts of automated vehicles in mixed traffic
A Ramin, M Kamrani, A Khattak, J Rios Torres
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), 2018
32018
Drivers’ reactions to connected vehicle forward collision warnings: Leveraging real-world data from the THEA CV pilot
M Kamrani, S Concas, A Kourtellis, M Rabbani, VC Kummetha, O Dokur
Transportation research part F: traffic psychology and behaviour 92, 108-120, 2023
22023
Systems and methods for detecting the location of debris and unexpected objects on roads
M Kamrani, S Concas, A Kourtellis
US Patent 11,170,645, 2021
22021
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Articles 1–20