Huiying Wen

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As the driving task is diversified from singularity, the driver's mental load is increased with the coordinated development between intelligent traffic and information technology. To carry our two different styles for test experiment, different kinds of music test and composite driving test mixed with principal-subordinate driving tasks, three typical tasks(More)
The traffic volume parameters (TVP) measure is the premise to realize the intelligent traffic. In this paper, the video-based measure of TVP is proposed. First, set the detection region which is divided into initiative detection and tracking region. The existence of motion vehicle is tested in the initiative region, if the motion vehicles have appeared, the(More)
In this study, a multivariate random-parameters Tobit model is proposed for the analysis of crash rates by injury severity. In the model, both correlation across injury severity and unobserved heterogeneity across road-segment observations are accommodated. The proposed model is compared with a multivariate (fixed-parameters) Tobit model in the Bayesian(More)
This study develops a Bayesian spatial random parameters Tobit model to analyze crash rates on road segments, in which both spatial correlation between adjacent sites and unobserved heterogeneity across observations are accounted for. The crash-rate data for a three-year period on road segments within a road network in Florida, are collected to compare the(More)
INTRODUCTION This study sets out to investigate the interactive effect on injury severity of driver-vehicle units in two-vehicle crashes. METHOD A Bayesian hierarchical ordered logit model is proposed to relate the variation and correlation of injury severity of drivers involved in two-vehicle crashes to the factors of both driver-vehicle units and the(More)
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