Search Results - "Arvin, Ramin"
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Exploring the who, what, when, where, and why of automated vehicle disengagements
Published in Accident analysis and prevention (01-03-2020)“…•Who: Human-initiated disengagements are more likely than automated driving systems (ADS) initiated disengagements.•What/why: ADS-initiated disengagements are…”
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Pedestrian Crash Exposure Analysis Using Alternative Geographically Weighted Regression Models
Published in Journal of advanced transportation (2021)“…In order to develop a sustainable, safe, and dynamic transportation system, proper attention must be paid to the safety of pedestrians. The purpose of this…”
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Classifying travelers' driving style using basic safety messages generated by connected vehicles: Application of unsupervised machine learning
Published in Transportation research. Part C, Emerging technologies (01-01-2021)“…•Framework to harness Basic Safety Messages generated by connected vehicles.•Instantaneous driving behavior analyzed using temporal driving…”
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Automated vehicle data pipeline for accident reconstruction: New insights from LiDAR, camera, and radar data
Published in Accident analysis and prevention (01-02-2023)“…•AV collision reports in California were analyzed and then simulated in the CARLA environment.•A data pipeline was developed that using simulated data from all…”
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Advancing investigation of automated vehicle crashes using text analytics of crash narratives and Bayesian analysis
Published in Accident analysis and prevention (01-03-2023)“…•Based on AV collision reports, gaps in the safety performance of automated vehicles (AVs) are identified.•This study untangles relationships among pre-crash…”
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The role of pre-crash driving instability in contributing to crash intensity using naturalistic driving data
Published in Accident analysis and prevention (01-11-2019)“…•Developing a framework to quantify instability in driving prior to crash occurrence.•Exploring the association of driving instability, in terms of volatility,…”
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Safety critical event prediction through unified analysis of driver and vehicle volatilities: Application of deep learning methods
Published in Accident analysis and prevention (01-03-2021)“…•Conducted analysis of linked data on vehicle kinematics, driving volatility and driver distraction.•Developed a deep learning framework to predict occurrence…”
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Safety evaluation of connected and automated vehicles in mixed traffic with conventional vehicles at intersections
Published in Journal of intelligent transportation systems (28-10-2020)“…Connected and Automated Vehicles (CAVs) can potentially improve the performance of the transportation system by reducing human errors. This paper investigates…”
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Integration of automated vehicles in mixed traffic: Evaluating changes in performance of following human-driven vehicles
Published in Accident analysis and prevention (01-03-2021)“…•Experimental results show that automated vehicles can induce behavioral changes in following conventional vehicle drivers.•Drivers exhibit lower driving…”
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Extracting Useful Information from Basic Safety Message Data: An Empirical Study of Driving Volatility Measures and Crash Frequency at Intersections
Published in Transportation research record (01-12-2018)“…With the emergence of high-frequency connected and automated vehicle data, analysts can extract useful information from them. To this end, the concept of…”
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Exploring pathways from driving errors and violations to crashes: The role of instability in driving
Published in Accident analysis and prevention (01-01-2023)“…•Driving errors and violations can lead to safety–critical events (SCEs).•A safe system path analysis approach is applied to account for vehicle instability…”
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How instantaneous driving behavior contributes to crashes at intersections: Extracting useful information from connected vehicle message data
Published in Accident analysis and prevention (01-06-2019)“…•Big data generated by connected vehicles is harnessed for proactive safety management.•A new framework to quantify the variations in driving behavior is…”
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Driving impairments and duration of distractions: Assessing crash risk by harnessing microscopic naturalistic driving data
Published in Accident analysis and prevention (01-10-2020)“…•How are duration of distraction and impairment related to safety critical events.•Classify secondary tasks performed by drivers prior to crash or…”
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How is the duration of distraction related to safety–critical events? Harnessing naturalistic driving data to explore the role of driving instability
Published in Journal of safety research (01-06-2023)“…Introduction: Due to a variety of secondary tasks performed by drivers, distracted driving has become a critical concern. At 50 mph, sending/reading a text for…”
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Safety, Energy, and Emissions Impacts of Adaptive Cruise Control and Cooperative Adaptive Cruise Control
Published in Transportation research record (01-06-2020)“…Connected and automated vehicle technologies have the potential to significantly improve transportation system performance. In particular, advanced…”
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Predicting intersection crash frequency using connected vehicle data: A framework for geographical random forest
Published in Accident analysis and prevention (01-01-2023)“…•Big data generated by connected vehicles is used for proactive safety management.•A new Geographical Random Forest model is developed to uncover spatial…”
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Analyzing drivers’ hazard recognition: Precursors to single-vehicle collisions
Published in Accident analysis and prevention (01-09-2021)“…Extensive driver behavior and performance information provided by real-world video surveillance and sensor data in the SHRP2 Naturalistic Driving Study has…”
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Incorporating driving volatility measures in safety performance functions: Improving safety at signalized intersections
Published in Accident analysis and prevention (01-12-2022)“…•To develop safety performance functions at intersections, we harness connected vehicle data.•Millions of Basic Safety Messages are used to develop volatility…”
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Study on mobile phone use while driving in a sample of Iranian drivers
Published in International journal of injury control and safety promotion (01-06-2017)“…The use of cell phone is a significant source of driver distraction. Phone use while driving can impair a number of factors critical for safe driving which can…”
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A geographically weighted regression to estimate the comprehensive cost of traffic crashes at a zonal level
Published in Accident analysis and prevention (01-10-2019)“…•HBA attribute crash to the home-address of traffic victim.•We explored comprehensive cost of traffic crashes at the census tract level (CCCPC).•GWPR model was…”
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