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    Large-Scale Loop Detector Troubleshooting Using Clustering and Association Rule Mining 

    Source: Journal of Transportation Engineering, Part A: Systems:;2020:;Volume ( 146 ):;issue: 007
    Author(s): Amin Ariannezhad; Yao-Jan Wu
    Publisher: ASCE
    Abstract: The archived data from traffic sensors are used in a wide range of traffic management applications. However, missing or invalid data are becoming an important concern. This study proposes a systematic approach to identify ...
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    Incorporating Mode Choices into Safety Analysis at the Macroscopic Level 

    Source: Journal of Transportation Engineering, Part A: Systems:;2020:;Volume ( 146 ):;issue: 004
    Author(s): Amin Ariannezhad; Abolfazl Karimpour; Yao-Jan Wu
    Publisher: ASCE
    Abstract: Investigating the contributing factors to aggregated crashes as a function of trip variables combined with details of their purpose and transportation modes is important in the planning stage of a transportation network. ...
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    Handling Imbalanced Data for Real-Time Crash Prediction: Application of Boosting and Sampling Techniques 

    Source: Journal of Transportation Engineering, Part A: Systems:;2021:;Volume ( 147 ):;issue: 003:;page 04020165-1
    Author(s): Amin Ariannezhad; Abolfazl Karimpour; Xiao Qin; Yao-Jan Wu; Yasamin Salmani
    Publisher: ASCE
    Abstract: With a growing number of intelligent transportation system sensors and the networkwide deployment of those across the nation’s roadway facilities, current research and practices should concentrate on more proactive safety ...
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    DSpace software copyright © 2002-2015  DuraSpace
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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
    yabeshDSpacePersian