摘要
为深入探讨综合交通枢纽(ITH)安全应急疏散路径选择问题,基于复杂系统脆性理论和蚁群算法,提出利用改进的蚁群算法来研究ITH安全应急疏散路径选择的方法。以西安市北客站站厅层为例,模拟仿真紧急情况下乘客疏散的最优和最差路径,并调整不同的参数设置,进行20次迭代。结果表明:当信息素浓度对有向图G的相对重要程度不变时,改变走行距离重视度和从众程度的参数取值,能够得出起点到8个出口的安全应急疏散路径的最优长度和最差长度。当走行距离重视度小于5,从众程度大于0.3时,安全应急疏散路径易达到最优路径;当走行距离重视度小于5,从众程度小于0.5时,该应急疏散路径易突变为最差路径。
In order to explore the optimal route choice of emergency evacuation in ITH based on brittle characteristics of ITH system and ant colony algorithm, a novel method was worked out for selecting emer- gency evacuation route in ITH based on improved ant colony algorithm. Passengers＇ optimal and worst routes of emergency evacuation in Xi＇an north railway station were simulated. The simulation results show that lengths of best and worst routes of emergency evacuation between starting point and 8 exits can be ob- tained by adjusting the value of importance of trip distance and degree of conformity, when the relative im- portance of pheromone concentration to graph G unchanged, that optimal route of emergency evacuation in urban ITH can be easily obtained when importance of trip distance above 5 and degree of conformity above 0.3, and that when the importance of trip distance above 5 and degree of conformity below 0.5, the route of emergency evacuation mutates into worst.
出处
《中国安全科学学报》
CAS
CSCD
北大核心
2014年第2期164-170,共7页
China Safety Science Journal
基金
国家自然科学基金资助(51208051)
中央高校基本科研业务费专项资金项目(2013G1321042)
关键词
综合交通枢纽(ITH)
路径选择
蚁群算法
脆性
应急疏散
integrated transportation hub（ITH）
route choice
ant colony algorithm
brittleness
emergency evacuation
