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Xuedong Yan

Showing results (51-60 of 83) with videos related to

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Accident; Analysis and Prevention|February 18, 2015
In-depth analysis of drivers' merging behavior and rear-end crash risks in work zone merging areasJinxian Weng, Shan Xue, Ying Yang, et al.
Accident; Analysis and Prevention|January 25, 2008
Validating a driving simulator using surrogate safety measuresXuedong Yan, Mohamed Abdel-Aty, Essam Radwan, et al.
International Journal of Environmental Research and Public Health|June 21, 2018
Red-Light-Running Crashes' Classification, Comparison, and Risk Analysis Based on General Estimates System (GES) Crash DatabaseYuting Zhang, Xuedong Yan, Xiaomeng Li, et al.
Cellular & Molecular Biology Letters|July 5, 2002
Targeting liposomes and lipoplexes to cells in the liverGerrit L Scherphof, Gerben Koning, Martin Bartsch, et al.
International Journal of Injury Control and Safety Promotion|October 27, 2011
Illegal mid-block pedestrian crossings in China: gap acceptance, conflict and crossing path analysisChristopher Cherry, Brian Donlon, Xuedong Yan, et al.
Traffic Injury Prevention|May 21, 2013
Two-vehicle injury severity models based on integration of pavement management and traffic engineering factorsXimiao Jiang, Baoshan Huang, Xuedong Yan, et al.
Accident; Analysis and Prevention|June 13, 2021
Wielding and evaluating the removal composition of common artefacts in EEG signals for driving behaviour analysisGeqi Qi, Shuo Zhao, Avishai Avi Ceder, et al.
Accident; Analysis and Prevention|April 3, 2024
Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learningPengfei Cui, Xiaobao Yang, Mohamed Abdel-Aty, et al.
Traffic Injury Prevention|August 16, 2013
Estimating safety effects of pavement management factors utilizing Bayesian random effect modelsXimiao Jiang, Baoshan Huang, Russell L Zaretzki, et al.
Accident; Analysis and Prevention|May 21, 2014
Multivariate random-parameters zero-inflated negative binomial regression model: an application to estimate crash frequencies at intersectionsChunjiao Dong, David B Clarke, Xuedong Yan, et al.
Pageof 9

Showing results (51-60 of 83) with videos related to

Sort By:
Pageof 9
Accident; Analysis and Prevention|February 18, 2015
In-depth analysis of drivers' merging behavior and rear-end crash risks in work zone merging areasJinxian Weng, Shan Xue, Ying Yang, et al.
Accident; Analysis and Prevention|January 25, 2008
Validating a driving simulator using surrogate safety measuresXuedong Yan, Mohamed Abdel-Aty, Essam Radwan, et al.
International Journal of Environmental Research and Public Health|June 21, 2018
Red-Light-Running Crashes' Classification, Comparison, and Risk Analysis Based on General Estimates System (GES) Crash DatabaseYuting Zhang, Xuedong Yan, Xiaomeng Li, et al.
Cellular & Molecular Biology Letters|July 5, 2002
Targeting liposomes and lipoplexes to cells in the liverGerrit L Scherphof, Gerben Koning, Martin Bartsch, et al.
International Journal of Injury Control and Safety Promotion|October 27, 2011
Illegal mid-block pedestrian crossings in China: gap acceptance, conflict and crossing path analysisChristopher Cherry, Brian Donlon, Xuedong Yan, et al.
Traffic Injury Prevention|May 21, 2013
Two-vehicle injury severity models based on integration of pavement management and traffic engineering factorsXimiao Jiang, Baoshan Huang, Xuedong Yan, et al.
Accident; Analysis and Prevention|June 13, 2021
Wielding and evaluating the removal composition of common artefacts in EEG signals for driving behaviour analysisGeqi Qi, Shuo Zhao, Avishai Avi Ceder, et al.
Accident; Analysis and Prevention|April 3, 2024
Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learningPengfei Cui, Xiaobao Yang, Mohamed Abdel-Aty, et al.
Traffic Injury Prevention|August 16, 2013
Estimating safety effects of pavement management factors utilizing Bayesian random effect modelsXimiao Jiang, Baoshan Huang, Russell L Zaretzki, et al.
Accident; Analysis and Prevention|May 21, 2014
Multivariate random-parameters zero-inflated negative binomial regression model: an application to estimate crash frequencies at intersectionsChunjiao Dong, David B Clarke, Xuedong Yan, et al.
Pageof 9