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Asad J. Khattak

University of Tennessee at Knoxville · US
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Area of research
Safety, Risk, Reliability and Quality · Transportation
Research interest
Research interests include Crash, Poison control, Computer science, Transport engineering, Volatility (finance), and Econometrics.
h-index
citations
807
works
19
NIH funding
primary concept
email

Recent publications

Exploring the influence of rider age and experience on motorcycle crash risk: Evidence from a case-control study
Journal of Transportation Safety & Security 2024cited by 10position: lastdoi
LSTM-based lane change prediction using Waymo open motion dataset: The role of vehicle operating space
Digital Transportation and Safety 2023cited by 10position: lastdoi
Active lane management and control using connected and automated vehicles in a mixed traffic environment
Transportation Research Part C Emerging Technologies 2022cited by 53position: lastdoi
From the past to the future: Modeling the temporal instability of safety performance functions
Accident Analysis & Prevention 2022cited by 15position: lastdoi
Understanding how relationships between crash frequency and correlates vary for multilane rural highways: Estimating geographically and temporally weighted regression models
Accident Analysis & Prevention 2021cited by 37position: middledoi
Do Larger Sample Sizes Increase the Reliability of Traffic Incident Duration Models? A Case Study of East Tennessee Incidents
Transportation Research Record Journal of the Transportation Research Board 2021cited by 19position: lastdoi
Heterogeneity assessment in incident duration modelling: Implications for development of practical strategies for small & large scale incidents
Journal of Intelligent Transportation Systems 2021cited by 14position: middledoi
Pathway analysis of relationships among community development, active travel behavior, body mass index, and self-rated health
International Journal of Sustainable Transportation 2021cited by 13position: middledoi
Constructing spatiotemporal driving volatility profiles for connected and automated vehicles in existing highway networks
Journal of Intelligent Transportation Systems 2021cited by 13position: middledoi
Bicyclist injury severity in traffic crashes: A spatial approach for geo-referenced crash data to uncover non-stationary correlates
Journal of Safety Research 2020cited by 68position: middledoi
Sequential Prediction for Large-Scale Traffic Incident Duration: Application and Comparison of Survival Models
Transportation Research Record Journal of the Transportation Research Board 2020cited by 27position: middledoi
How much information is lost when sampling driving behavior data? Indicators to quantify the extent of information loss
Journal of Intelligent and Connected Vehicles 2020cited by 10position: middledoi
Exploratory analysis of automated vehicle crashes in California: A text analytics & hierarchical Bayesian heterogeneity-based approach
Accident Analysis & Prevention 2019cited by 165position: lastdoi
Exploring microscopic driving volatility in naturalistic driving environment prior to involvement in safety critical events—Concept of event-based driving volatility
Accident Analysis & Prevention 2019cited by 56position: middledoi
A spatial analysis of the ownership of alternative fuel and hybrid vehicles
Transportation Research Part D Transport and Environment 2019cited by 38position: middledoi
Informed decision-making by integrating historical on-road driving performance data in high-resolution maps for connected and automated vehicles
Journal of Intelligent Transportation Systems 2019cited by 21position: lastdoi
Revisiting Hit-and-Run Crashes: A Geo-Spatial Modeling Method
Transportation Research Record Journal of the Transportation Research Board 2018cited by 30position: middledoi
Correlates of front-seat passengers’ non-use of seatbelts at night
Accident Analysis & Prevention 2018cited by 16position: middledoi
Multivariate random-parameters zero-inflated negative binomial regression model: An application to estimate crash frequencies at intersections
Accident Analysis & Prevention 2014cited by 192position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Jun Liu · University of Alabama10 papers (2018–2022)Xiaobing Li · University of Alabama5 papers (2019–2021) · 4 papers (2019–2023)Behram Wali · University of California San Diego4 papers (2019–2024)Shashi Nambisan · University of Nevada, Las Vegas4 papers (2018–2021)Jiaqi Ma · University of California, Los Angeles2 papers (2018–2022)Jun Liu · University of Tennessee at Knoxville2 papers (2020–2021)Numan Ahmad · Pennsylvania State University2 papers (2021–2024)Jun Liu · University of Tennessee at Knoxville1 papers (2023–2023)Zulqarnain H. Khattak · University of Virginia1 papers (2022–2022)Brian L. Smith · University of Virginia1 papers (2022–2022)Dan Wan · Huazhong University of Science and Technology1 papers (2018–2018)Zihe Zhang · Nanchang University1 papers (2021–2021)Jerry Everett · University of Tennessee at Knoxville1 papers (2018–2018) · 1 papers (2020–2020) · 1 papers (2021–2021)Zhitong Huang · Mississippi State University1 papers (2023–2023)Baoshan Huang · Yunnan University1 papers (2014–2014)David B. Clarke · University of Tennessee at Knoxville1 papers (2014–2014)Muhammad Adeel · University of Tennessee at Knoxville1 papers (2024–2024)
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