中山大学学报（自然科学版）（中英文）2025，Vol.64Issue(5)：59-67,9.DOI:10.13471/j.cnki.acta.snus.ZR20250051
面向不规范停车治理的动态共享停车分配模型
Dynamic shared parking allocation model for irregular parking management
摘要
Abstract
This study presents a dynamic shared parking demand allocation model based on bi-level programming,aiming to optimize the matching between parking demand and available resources.A hybrid allocation framework is developed that incorporates irregular parking resources,with branch-level virtual parking lots serving as the basic spatial units.Parking allocation is carried out through a rolling time-window optimization mechanism,and a co-evolutionary genetic algorithm embedded with a distance-priority heuristic is employed for solution search.A case simulation in a branch-level area of Chengdu demonstrates that the model effectively satisfies parking demand,reduces the hourly average volume of irregular parking by 128 vehicles,and improves the spatiotemporal utilization of physical parking resources by 9.52%.Sensitivity analysis confirms the model's robustness and adaptability to fluctuating demand conditions,showing strong robustness and adaptability.关键词
共享停车分配/双层规划/协同进化遗传算法Key words
shared parking allocation/bi-level programming/co-evolutionary genetic algorithm分类
交通工程引用本文复制引用
黄敏,杨靖,梁宁晨..面向不规范停车治理的动态共享停车分配模型[J].中山大学学报（自然科学版）（中英文）,2025,64(5):59-67,9.基金项目
国家自然科学基金(12472060) （12472060）
