期刊
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
卷 85, 期 -, 页码 664-683出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.trc.2017.10.009
关键词
Variable evacuation guidance; Pedestrian simulation; Congestion; Guidance compliance; Dynamic network; Mixed-integer programming
资金
- Minister of Science and Technology of Taiwan [MOST 105-2628-E-002-004-MY3]
- National Taiwan University [NTU-CDP-105R7728]
A methodology for optimizing variable pedestrian evacuation guidance in buildings with convex polygonal interior spaces is proposed. The optimization of variable guidance is a bi-level problem. The calculation of variable guidance based on the prediction of congestion and hazards is the upper-level problem. The prediction of congestion provided the variable guidance is the lower-level problem. A local search procedure is developed to solve the problem. The proposed methodology has three major contributions. First, a logistic regression model for guidance compliance behavior is calibrated using a virtual reality experiment and the critical factors for the behavior are identified. Second, the guidance compliance and following behaviors are considered in the lower-level problem. Third, benchmarks are calculated to evaluate the performance of optimized variable guidance, including the lower bound of the maximum evacuation time and the maximum evacuation time under a fixed guidance. Finally, the proposed methodology is validated with numerical examples. Results show that the method has the potential to reduce evacuation time in emergencies.
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