Kun-Feng Wu, Ph.D.

Affiliations: 
2011 Pennsylvania State University, State College, PA, United States 
Area:
Civil Engineering
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"Kun-Feng Wu"

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Paul P. Jovanis grad student 2011 Penn State
 (Defining, screening, and testing crash surrogates using naturalistic driving data.)
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Publications

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Wu KK, Lin T. (2022) Investigating the effects of travel lane configuration and lane width on traffic safety where powered-two-wheelers (PTWs) share with larger vehicles: A micro perspective. Accident; Analysis and Prevention. 172: 106682
Wu KK, Wang L. (2020) Exploring the combined effects of driving situations on freeway rear-end crash risk using naturalistic driving study data. Accident; Analysis and Prevention. 150: 105866
Wu KF, Lin YJ. (2019) Exploring the effects of critical driving situations on driver perception time (PT) using SHRP2 naturalistic driving study data. Accident; Analysis and Prevention. 128: 94-102
Huang K, Wu K, Ardiansyah MN. (2019) A stochastic dairy transportation problem considering collection and delivery phases Transportation Research Part E: Logistics and Transportation Review. 129: 325-338
Wang SY, Wu KF. (2018) Reducing intercity bus crashes through driver rescheduling. Accident; Analysis and Prevention. 122: 25-35
Wu KF, Sasidharan L, Thor CP, et al. (2018) Crash sequence based risk matrix for motorcycle crashes. Accident; Analysis and Prevention. 117: 21-31
Wu KF, Ardiansyah N, Ye WJ. (2017) An Evaluation Scheme for Assessing the Effectiveness of Intersection Movement Assist (IMA) on Improving Traffic Safety. Traffic Injury Prevention. 0
Wu KF, Thor CP, Ardiansyah MN. (2016) Identify sequence of events likely to result in severe crash outcomes. Accident; Analysis and Prevention. 96: 198-207
Wu K, Jovanis PP. (2016) Cohort-Based Analysis Structure for Modeling Driver Behavior with an In-Vehicle Data Recorder Transportation Research Record: Journal of the Transportation Research Board. 2601: 24-32
Sasidharan L, Wu KF, Menendez M. (2015) Exploring the application of latent class cluster analysis for investigating pedestrian crash injury severities in Switzerland. Accident; Analysis and Prevention. 85: 219-28
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