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    Spatiotemporal Multivehicle Interaction Graph Modeling for Proactive Lane-Changing Risk Level Prediction in a Connected Environment 

    Source: Journal of Transportation Engineering, Part A: Systems:;2025:;Volume ( 151 ):;issue: 003:;page 04024125-1
    Author(s): Yanyan Chen; Kaiming Lu; Yunchao Zhang; Yongxing Li; Xin Gu
    Publisher: American Society of Civil Engineers
    Abstract: Timely and accurate prediction of lane-changing (LC) risk is crucial for drivers to make safe LC decisions. This study proposes a spatiotemporal attention graph neural network model (STAG) based on multivehicle interaction ...
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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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