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作 者:陈立家[1,2] 陆崔旺 许毅[3] 汪洋[4] CHEN Lijia;LU Cuiwang;XU Yi;WANG Yang(School of Shipping,Wuhan University of Technology,Wuhan 430063,China;Hubei Key Laboratory of Inland Water Navigation Technology,Wuhan 430063,China;School of Computer and Artificial Intelligence,Wuhan University of Technology,Wuhan 430070,China;Intelligent Transportation System Research Center,Wuhan University of Technology,Wuhan 430063,China)
机构地区:[1]武汉理工大学航运学院,武汉430063 [2]武汉理工大学内河航运技术湖北省重点实验室,武汉430063 [3]武汉理工大学计算机与人工智能学院,武汉430070 [4]武汉理工大学智能交通系统研究中心,武汉430063
出 处:《武汉理工大学学报(交通科学与工程版)》2024年第5期999-1004,1010,共7页Journal of Wuhan University of Technology(Transportation Science & Engineering)
基 金:国家自然科学基金(52372320)。
摘 要:文中针对火灾蔓延对人员逃生过程的影响,提出一种客船火灾蔓延条件下基于改进蚁群算法的逃生路径规划算法.根据客船三维模型进行火灾蔓延模拟以掌握火灾蔓延态势,定义逃生人员火灾产物耐受限值进行可逃生区域识别,确定安全逃生节点.引入目标方向改进启发函数,避免陷入局部最优,加入最差蚁群的影响和信息挥发系数自适应化,改进蚁群算法的信息素更新机制.通过安全路径二次优化,减少规划出的路径中多余拐点.结果表明:改进后的蚁群算法可以有效地用于客船发生火灾时人员的逃生路径规划.Aiming at the influence of fire spread on the escape process of passengers,an escape path planning algorithm based on improved ant colony algorithm was proposed under the condition of passenger ship fire spread.According to the three-dimensional model of passenger ship,the fire spread simulation was carried out to master the fire spread situation,and the tolerance limit of fire products of escape personnel was defined to identify the escape area and determine the safe escape nodes.The heuristic function was improved by introducing the target direction to avoid falling into local optimization.By adding the influence of the worst ant colony and adapting the information volatilization coefficient,the pheromone updating mechanism of ant colony algorithm was improved.Through the second optimization of safe path,the redundant inflection points in the planned path were reduced.The results show that the improved ant colony algorithm can be effectively used for the escape path planning of passengers in the event of a passenger ship fire.
分 类 号:U698.4[交通运输工程—港口、海岸及近海工程]
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