کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6935905 | 1449657 | 2018 | 25 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A fine discrete field cellular automaton for pedestrian dynamics integrating pedestrian heterogeneity, anisotropy, and time-dependent characteristics
ترجمه فارسی عنوان
یک میدان مغناطیسی مجزا برای سلول های اتوماتیک برای پویایی عابر پیاده، تلفیق ناهمگونی عابر پیاده، عدم انطباق و ویژگی های وابسته به زمان
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کلمات کلیدی
ناهمگونی، ناهمسانگردی، ویژگی های وابسته به زمان، گسسته سازی، معادلات انتقال، شرایط مشخص
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
چکیده انگلیسی
This paper proposes a discrete field cellular automaton (CA) model that integrates pedestrian heterogeneity, anisotropy, and time-dependent characteristics. The pedestrian movement direction, moving/staying, and steering are governed by the transfer equations. Compared with existing studies on fine-discretized CA models, the proposed model is advantageous in terms of flexibility, higher spatial accuracy, wider speed range, relatively low computational cost, and elaborated conflict resolution with synchronous update scheme. Three different application scenarios are created by adjusting the definite conditions of the model: (1) The first one is a unidirectional pedestrian movement in a channel, where a complete jam in the high-density region is observed from the proposed model, which is missing from existing floor field CA models. (2) The second one is evacuation from a room, where the evacuation time is independent of the discretization factor, which is different from previous work. (3) The third one is an ascending evacuation through a 21-storey stair system, where pedestrians move with constant speed or with fatigue. The evacuation time in the latter case is nearly twice of that in the former.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Transportation Research Part C: Emerging Technologies - Volume 91, June 2018, Pages 37-61
Journal: Transportation Research Part C: Emerging Technologies - Volume 91, June 2018, Pages 37-61
نویسندگان
Zhijian Fu, Qihao Jia, Junmin Chen, Jian Ma, Ke Han, Lin Luo,