Search Results - "Khattak, Aemal"

Personalized travel time estimation for urban road networks: A tensor-based context-aware approach by Tang, Kun, Chen, Shuyan, Khattak, Aemal J.

“…•A novel tensor-based approach for travel time modeling is proposed.•A variety of contextual features are extracted and utilized.•A context-aware and…”
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Weather impacts on single-vehicle truck crash injury severity by Naik, Bhaven, Tung, Li-Wei, Zhao, Shanshan, Khattak, Aemal J.

“…The focus of this paper is on illustrating the feasibility of aggregating data from disparate sources to investigate the relationship between single-vehicle…”
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A heterogeneity based case-control analysis of motorcyclist’s injury crashes: Evidence from motorcycle crash causation study by Wali, Behram, Khattak, Asad J., Khattak, Aemal J.

“…•Associations between different “policy-sensitive” key risk factors & injury crash propensity are quantified.•A matched case-control design collected through…”
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A tensor-based Bayesian probabilistic model for citywide personalized travel time estimation by Tang, Kun, Chen, Shuyan, Liu, Zhiyuan, Khattak, Aemal J.

“…•A context-aware tensor-based travel time estimation model is proposed.•Providing dynamic and personalized travel times for different drivers.•Modeling the…”
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Factors associated with self-reported inattentive driving at highway-rail grade crossings by Zhao, Shanshan, Khattak, Aemal J.

“…•Investigate drivers’ inattentive driving behavior at highway-rail crossings.•Research utilizes factor analysis and structural equation models.•Female, young,…”
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Investigating Highway–Rail Grade Crossing Inventory Data Quality’s Role in Crash Model Estimation and Crash Prediction by Farooq, Muhammad Umer, Khattak, Aemal J.

“…The highway–rail grade crossings (HRGCs) crash frequency models used in the US are based on the Federal Railroad Administration’s (FRA) database for…”
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Recognition and interpretation of aggressive driving behavior for heavy‐duty vehicles based on artificial neural network and SHAP by Cheng, Chuangang, Chen, Shuyan, Ma, Yongfeng, Khattak, Aemal J., Zhang, Ziyu

“…Aggressive driving significantly impacts traffic safety, and heavy‐duty vehicle drivers are more liable for causing serious crashes. This paper analyzes…”
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Deep Architecture for Citywide Travel Time Estimation Incorporating Contextual Information by Tang, Kun, Chen, Shuyan, Khattak, Aemal J., Pan, Yingjiu

“…To meet the growing demand of accurate and reliable travel time information in intelligent transportation systems, this a develops a deep architecture…”
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What Affects Emotional Well-Being during Travel? Identifying the Factors by Maximal Information Coefficient by Ma, Yongfeng, Chen, Shuyan, Khattak, Aemal J, Cao, Zheng, Zubair, Muhammad, Han, Xue, Hu, Xiaojian

“…Traveler emotional well-being as a specific domain of subjective well-being has attracted attention across the field of transportation. Studies on identifying…”
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Identifying Potentially Risky Intersections for Heavy-Duty Truck Drivers Based on Individual Driving Styles by Zhu, Yi, Ma, Yongfeng, Chen, Shuyan, Khattak, Aemal J., Pang, Qianqian

“…In developing countries, heavy-duty trucks play an important role in transportation for infrastructure construction. However, frequent truck accidents cause…”
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Use of Decision Assistance Curves in Advanced Warrant Analysis for Indirect Left-Turn Intersections by Gyawali, Sunil, Sharma, Anuj, Khattak, Aemal J., Smaglik, Edward

“…This paper develops decision assistance curves (DACs) to compare delay-based performance measures for three indirect left-turn (ILT) intersections—median…”
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Comparison of Driver Behavior at Highway–Railroad Crossings in Two Cities by Khattak, Aemal J.

“…This paper attempts to answer two questions pertaining to highway–railroad grade crossing (HRGC) safety. First, does unsafe driver behavior differ at HRGCs…”
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Effects of work zone presence on injury and non-injury crashes by Khattak, Asad J, Khattak, Aemal J, Council, Forrest M

“…Work zones in the United States have approximately 700 traffic-related fatalities, 24 000 injury crashes, and 52 000 non-injury crashes every year. Due to…”
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Investigation of winter weather crash injury severity using winter storm classification techniques by Walker, Curtis L., Khattak, Aemal J., Umer Farooq, Muhammad, Cecava, John, Anderson, Mark R.

“…•Integration of winter weather-related vehicular crashes with winter severity indices is a relatively new application.•Most crashes occur either after snowfall…”
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Probabilistic classification of hazardous materials release events in train incidents and cargo tank truck crashes by Iranitalab, Amirfarrokh, Khattak, Aemal

“…•Probabilistic classifiers for hazmat release events in train incidents and cargo tank truck crashes.•Evaluation of the predictive methods dependent on the…”
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Comparison of four statistical and machine learning methods for crash severity prediction by Iranitalab, Amirfarrokh, Khattak, Aemal

“…•Four different classification methods were investigated for crash severity prediction.•The effects of two data clustering methods on crash severity prediction…”
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Highway Safety Assessment through Geographic Information System-Based Data Visualization by Khattak, Aemal J, Shamayleh, Huda

“…This paper describes a new method of safety assessment of highway stopping and passing sight distances. Topographic data were collected by flying a plane…”
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Deep Learning Model for Crash Injury Severity Analysis Using Shapley Additive Explanation Values by Kang, Yashu, Khattak, Aemal J.

“…Analysis of traffic crash and associated data provides insights and assists with identification of cause-and-effect relationships with crash probabilities and…”
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Case Study of Crash Severity Spatial Pattern Identification in Hot Spot Analysis by Lee, Myungwoo, Khattak, Aemal J.

“…Traffic crash hot spot analyses allow identification of roadway segments that may be of safety concern. Understanding geographic patterns of existing motor…”
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Reducing Undesirable Actions of Motor Vehicle Drivers at Railroad–Highway Grade Crossings by Khattak, Aemal J.

“…This paper reports on unsafe actions of motor vehicle drivers at gated railroad–highway grade crossings and behavioral modifications in response to…”
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