王亮,王润泽,陶坤旺

• 1:中国测绘科学研究院
• 2:兰州交通大学测绘与地理信息学院

摘要(Abstract)：

针对启发式算法利用Dijkstra算法求解大型动态网络中疏散路径规划问题时,存在疏散时间长、稳定性差等不足,该文提出了一种改进CCRP的方法,即用蚁群算法替代Dijkstra算法求解最优路径,进而减少疏散时间,增加估算疏散时间的精确性。实验表明,该方法能够在大型动态网络下实现路网容量受限的疏散路径规划有效求解,具有疏散时间短、疏散路径少、线性关系强等特点,相比原有CCRP算法更能满足实际疏散的需要。在寻找最优路径上采用蚁群算法求解,相比贪心算法更能支持全局最优、并行计算、疏散效率更高,在支持路况信息实时更新、大规模人群快速疏散、及时调整疏散路线等方面更具优势。

关键词(KeyWords)： 路径规划;启发式算法;容量受限;蚁群算法

Abstract:

Keywords:

基金项目(Foundation): 国家重点研发计划项目(2016YFC0803108)

作者(Author): 王亮,王润泽,陶坤旺

DOI: 10.16251/j.cnki.1009-2307.2019.06.035

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