Search Results - "Asad, J." :: K.UTB vyhledávací portál

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Advancing investigation of automated vehicle crashes using text analytics of crash narratives and Bayesian analysis

by Lee, Steve, Arvin, Ramin, Khattak, Asad J.
Published in Accident analysis and prevention (01.03.2023)

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Do safety performance functions used for predicting crash frequency vary across space? Applying geographically weighted regressions to account for spatial heterogeneity

by Liu, Jun, Khattak, Asad J., Wali, Behram
Published in Accident analysis and prevention (01.12.2017)

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Safety in higher level automated vehicles: Investigating edge cases in crashes of vehicles equipped with automated driving systems

by Moradloo, Nastaran, Mahdinia, Iman, Khattak, Asad J.
Published in Accident analysis and prevention (01.08.2024)

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Exploring the who, what, when, where, and why of automated vehicle disengagements

by Boggs, Alexandra M., Arvin, Ramin, Khattak, Asad J.
Published in Accident analysis and prevention (01.03.2020)

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The role of pre-crash driving instability in contributing to crash intensity using naturalistic driving data

by Arvin, Ramin, Kamrani, Mohsen, Khattak, Asad J.
Published in Accident analysis and prevention (01.11.2019)

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Safety critical event prediction through unified analysis of driver and vehicle volatilities: Application of deep learning methods

by Arvin, Ramin, Khattak, Asad J., Qi, Hairong
Published in Accident analysis and prevention (01.03.2021)

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Safety evaluation of connected and automated vehicles in mixed traffic with conventional vehicles at intersections

by Arvin, Ramin, Khattak, Asad J., Kamrani, Mohsen, Rio-Torres, Jackeline
Published in Journal of intelligent transportation systems (28.10.2020)

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Integration of automated vehicles in mixed traffic: Evaluating changes in performance of following human-driven vehicles

by Mahdinia, Iman, Mohammadnazar, Amin, Arvin, Ramin, Khattak, Asad J.
Published in Accident analysis and prevention (01.03.2021)

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Cooperative Game Approach to Optimal Merging Sequence and on-Ramp Merging Control of Connected and Automated Vehicles

by Jing, Shoucai, Hui, Fei, Zhao, Xiangmo, Rios-Torres, Jackeline, Khattak, Asad J.
Published in IEEE transactions on intelligent transportation systems (01.11.2019)

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Exploring pathways from driving errors and violations to crashes: The role of instability in driving

by Ahmad, Numan, Arvin, Ramin, Khattak, Asad J.
Published in Accident analysis and prevention (01.01.2023)

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Gate-violation behavior at highway-rail grade crossings and the consequences: Using geo-Spatial modeling integrated with path analysis

by Liu, Jun, Khattak, Asad J.
Published in Accident analysis and prevention (01.12.2017)

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

by Arvin, Ramin, Kamrani, Mohsen, Khattak, Asad J.
Published in Accident analysis and prevention (01.06.2019)

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Understanding the role of faster emergency medical service response in the survival time of pedestrians

by Mahdinia, Iman, Mohammadnazar, Amin, Khattak, Asad J.
Published in Accident analysis and prevention (01.11.2022)

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Heterogeneous ensemble learning for enhanced crash forecasts – A frequentist and machine learning based stacking framework

by Ahmad, Numan, Wali, Behram, Khattak, Asad J.
Published in Journal of safety research (01.02.2023)

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Exploring microscopic driving volatility in naturalistic driving environment prior to involvement in safety critical events—Concept of event-based driving volatility

by Wali, Behram, Khattak, Asad J., Karnowski, Thomas
Published in Accident analysis and prevention (01.11.2019)

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Exploratory analysis of automated vehicle crashes in California: A text analytics & hierarchical Bayesian heterogeneity-based approach

by Boggs, Alexandra M., Wali, Behram, Khattak, Asad J.
Published in Accident analysis and prevention (01.02.2020)

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Delivering improved alerts, warnings, and control assistance using basic safety messages transmitted between connected vehicles

by Liu, Jun, Khattak, Asad J.
Published in Transportation research. Part C, Emerging technologies (01.07.2016)

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Driving impairments and duration of distractions: Assessing crash risk by harnessing microscopic naturalistic driving data

by Arvin, Ramin, Khattak, Asad J.
Published in Accident analysis and prevention (01.10.2020)

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A taxonomy of driving errors and violations: Evidence from the naturalistic driving study

by Khattak, Asad J., Ahmad, Numan, Wali, Behram, Dumbaugh, Eric
Published in Accident analysis and prevention (01.03.2021)

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Analysis of volatility in driving regimes extracted from basic safety messages transmitted between connected vehicles

by Khattak, Asad J., Wali, Behram
Published in Transportation research. Part C, Emerging technologies (01.11.2017)

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