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    Modeling Merging Acceleration and Deceleration Behavior Based on Gradient-Boosting Decision Tree 

    Source: Journal of Transportation Engineering, Part A: Systems:;2020:;Volume ( 146 ):;issue: 007
    Author(s): Gen Li; Song Fang; Jianxiao Ma; Juan Cheng
    Publisher: ASCE
    Abstract: This paper aims to model the behavior of merging acceleration/deceleration when cars are running in a congested weaving section on a freeway during the merging implementation period by using a data-driven method called ...
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    Characterizing Heterogeneity among Merging Positions: Comparison Study between Random Parameter and Latent Class Accelerated Hazard Model 

    Source: Journal of Transportation Engineering, Part A: Systems:;2021:;Volume ( 147 ):;issue: 006:;page 04021029-1
    Author(s): Gen Li; Zhen Yang; Qifeng Yu; Jianxiao Ma; Song Fang
    Publisher: ASCE
    Abstract: This study aims to build an accurate merging position model by incorporating heterogeneity into the accelerated hazard model based on random parameter and latent class models. Three kinds of distribution (Weibull, log-normal, ...
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    Data-Driven Design for a Modified Asphalt Binder Based on a Reduced Order Model and Simplicial Homology Global Optimization 

    Source: Journal of Materials in Civil Engineering:;2024:;Volume ( 036 ):;issue: 003:;page 04023590-1
    Author(s): Yinshan Xu; Hongbo Zhao; Xuechao Yang; Gen Li; Lin Zhang; Jiaolong Ren
    Publisher: ASCE
    Abstract: The orthogonal experimental method is currently the most commonly used tool for determining an appropriate composition of modified asphalt binders. However, it cannot automatically output a reasonable composition when ...
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    Two Approaches of the Spring North Atlantic Sea Surface Temperature Affecting the Following July Precipitation over Central China: The Tropical and Extratropical Pathways 

    Source: Journal of Climate:;2022:;volume( 035 ):;issue: 020:;page 2969
    Author(s): Lin Chen; Gen Li; Bo Lu; Yanping Li; Chujie Gao; Shang-Min Long; Xinyu Li; Ziqian Wang
    Publisher: American Meteorological Society
    Abstract: The spring tripole sea surface temperature (SST) anomalies in North Atlantic are an outstanding regional mode of interannual variability. Based on the observed and reanalyzed datasets during 1979–2019, this study reveals ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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