دانلود مقاله انگلیسی رایگان:یک مطالعه مبتنی بر یادگیری ماشینی بر پویایی حرکت عابر پیاده در تخلیه اضطراری - 2019
بلافاصله پس از پرداخت دانلود کنید
دانلود مقاله انگلیسی یادگیری ماشین رایگان
  • A machine learning based study on pedestrian movement dynamics under emergency evacuation A machine learning based study on pedestrian movement dynamics under emergency evacuation
    A machine learning based study on pedestrian movement dynamics under emergency evacuation

    سال انتشار:

    2019


    عنوان انگلیسی مقاله:

    A machine learning based study on pedestrian movement dynamics under emergency evacuation


    ترجمه فارسی عنوان مقاله:

    یک مطالعه مبتنی بر یادگیری ماشینی بر پویایی حرکت عابر پیاده در تخلیه اضطراری


    منبع:

    Sciencedirect - Elsevier - Fire Safety Journal, 106 (2019) 163-176: doi:10:1016/j:firesaf:2019:04:008


    نویسنده:

    Ke Wang, Xiupeng Shi, Algena Pei Xuan Goh, Shunzhi Qian∗


    چکیده انگلیسی:

    Knowledge of evacuees movement dynamics is crucial to building safety design and evacuation management. Although it is recognized that stepwise movement is the fundamental element to construct the whole evacuation process, movement pattern and its influencing factors are still not well understood. In this study, we explored the potential of adopting machine learning methods to study evacuees stepwise movement1 dynamics based on two videos of quasi-emergency evacuation experiments. The movement patterns were categorized through Two-step Cluster Analysis and principal influencing factors were identified through Principal Component Analysis. The relationship between the movement patterns and the principal components were investigated using different modeling methods: traditional method (Multinomial Logit Model, MLM) and machine learning methods (Decision Tree, Support Vector Machine, K-Nearest Neighbor, and Artificial Neural Network). Results from two experimental videos showed reasonable consistency and the main findings are: (1) Distance to the target exit has the most pronounced effect on a single evacuees stepwise movement pattern. (2) Surrounding evacuees actions also have significant and complex influence on a single evacuees stepwise movement pattern. (3) MLM showed comparable prediction accuracy with machine learning methods when the scenario is simple. The superiority of machine learning became apparent when the scenario was more complex, with a maximum enhancement of 13.25% in prediction accuracy. Each machine learning method demonstrated distinct features and advantages in different aspects.
    Keywords: Emergency evacuation | Movement dynamics | Machine learning | Movement pattern


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 14
    حجم فایل: 1648 کیلوبایت

    قیمت: رایگان


    توضیحات اضافی:




اگر این مقاله را پسندیدید آن را در شبکه های اجتماعی به اشتراک بگذارید (برای به اشتراک گذاری بر روی ایکن های زیر کلیک کنید)

تعداد نظرات : 0

الزامی
الزامی
الزامی
rss مقالات ترجمه شده rss مقالات انگلیسی rss کتاب های انگلیسی rss مقالات آموزشی