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Xuedong Yan
Researcher at Beijing Jiaotong University
Publications - 205
Citations - 5107
Xuedong Yan is an academic researcher from Beijing Jiaotong University. The author has contributed to research in topics: Poison control & Driving simulator. The author has an hindex of 32, co-authored 202 publications receiving 3994 citations. Previous affiliations of Xuedong Yan include University of Tennessee & Florida Department of Transportation.
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Journal ArticleDOI
Validating a driving simulator using surrogate safety measures.
TL;DR: This study aims at investigating whether the driving simulator can be used as a valid tool to assess traffic safety at signalized intersections and using surrogate safety measures from the simulator to contrast with the crash analysis for the field data.
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Characteristics of Rear-End Accidents at Signalized Intersections using Multiple Logistic Regression Model
TL;DR: This study utilized the 2001 Florida traffic accident data to investigate the accident propensity for different vehicle roles (striking or struck) that are involved in the accidents and identify the significant risk factors related to the traffic environment, the driver characteristics, and the vehicle types.
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Effects of major-road vehicle speed and driver age and gender on left-turn gap acceptance
TL;DR: The experiment results identified an association between high crash risk and high traffic speed at stop-controlled intersections and the older drivers, especially older female drivers, showed to be the most vulnerable group for the relatively complex driving maneuvers.
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Exploring precrash maneuvers using classification trees and random forests
TL;DR: It is recommended that future research investigates further the explored trends (e.g., physically impaired drivers, visibility obstruction) using driving simulators which may help in legislative initiatives and in-vehicle technology recommendations.
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Classification analysis of driver's stop/go decision and red-light running violation.
TL;DR: In this paper, a field data collection was conducted at a high-speed signalized intersection, where a video-based system with three cameras was used to record the drivers' behavior related to the onset of yellow.