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    Classification and Regression Tree Approach for Predicting Drivers’ Merging Behavior in Short-Term Work Zone Merging Areas 

    Source: Journal of Transportation Engineering, Part A: Systems:;2012:;Volume ( 138 ):;issue: 008
    Author(s): Qiang Meng; Jinxian Weng
    Publisher: American Society of Civil Engineers
    Abstract: This study aims to use the classification and regression tree (CART) approach, one of the most powerful data mining techniques, to predict drivers’ merging behavior in a work zone merging area. On the basis of the eight ...
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    Random Coefficient Models for Work Zone Headway Distribution 

    Source: Journal of Transportation Engineering, Part A: Systems:;2019:;Volume ( 145 ):;issue: 010
    Author(s): Jinxian Weng; Xiafan Gan; Gang Du
    Publisher: American Society of Civil Engineers
    Abstract: Vehicle headways in work zones are disaggregated into two types in this study—truck-involved (e.g., car-truck) and nontruck-involved (e.g., car-car) headways. Considering the possible effects of vehicle-following ...
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    Analysis of Sideswipe Collision Precursors Considering the Spatial-Temporal Characteristics of Freeway Traffic 

    Source: Journal of Transportation Engineering, Part A: Systems:;2016:;Volume ( 142 ):;issue: 012
    Author(s): Jiangfeng Wang; Qian Zhang; Yinhai Wang; Jinxian Weng; Xuedong Yan
    Publisher: American Society of Civil Engineers
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