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    Autonomous Vehicle–Pedestrian Interaction Modeling Platform: A Case Study in Four Major Cities 

    Source: Journal of Transportation Engineering, Part A: Systems:;2024:;Volume ( 150 ):;issue: 009:;page 04024045-1
    Author(s): Maged Shoman; Gabriel Lanzaro; Tarek Sayed; Suliman Gargoum
    Publisher: American Society of Civil Engineers
    Abstract: Accurately evaluating the safety effects of autonomous vehicles (AVs) has become more pressing with the increased adoption rate of AVs. This study utilizes a multiagent adversarial inverse reinforcement learning (MAAIRL) ...
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    Modeling Motorcyclist–Pedestrian Near Misses: A Multiagent Adversarial Inverse Reinforcement Learning Approach 

    Source: Journal of Computing in Civil Engineering:;2022:;Volume ( 036 ):;issue: 006:;page 04022038
    Author(s): Gabriel Lanzaro; Tarek Sayed; Rushdi Alsaleh
    Publisher: ASCE
    Abstract: Several studies have used surrogate safety measures obtained from microsimulation packages, such as VISSIM, for safety assessments. However, this approach has shortcomings: (1) microsimulation models are developed ...
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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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