吉林大学学报(工学版) ›› 2026, Vol. 56 ›› Issue (3): 711-724.doi: 10.13229/j.cnki.jdxbgxb.20240908
• 交通运输工程·土木工程 • 上一篇
Guo-zhu CHENG1(
),Yan-feng LYU1,Tian-jun FENG2(
)
摘要:
为提升公共交通换乘效率,开展了地铁站周边常规公交换乘站点布局多目标协同优化研究。构建了考虑乘客换乘便捷性、出行时间成本和公交站点负荷均衡性3个主要目标的多目标协同优化模型,给出了基于社交蜘蛛优化算法(SSOA)的模型求解方法,引入动态学习率调整方法和帕累托最优解集对算法进行优化。案例分析结果表明,优化后最短路径平均缩小28.98%,最短路径时间平均缩小34.22%,站点平均负荷均衡性提升6.5%,说明该模型站点布局优化效果较好。
中图分类号:
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