重庆大学学报2024，Vol.47Issue(8)：47-54,8.DOI:10.11835/j.issn.1000.582X.2024.08.005
基于时间聚类推理的立体车库车位分配策略研究
Research on parking allocation strategy of stereo garage based on time cluster reasoning
摘要
Abstract
Based on the arrival-departure time data of vehicles in stereo garage,k-means clustering method was used to classify vehicles according to the arrival frequency of access vehicles in different periods,and cubic cluster criterion was used as the evaluation index to evaluate the classification credibility. Based on the reasoning results of vehicle arrival-departure time division and the relationship between the total service time of equipment from I/O to the parking space and the length of stay time,a mathematical model of parking space partition allocation in stereo garage is established. With defining the average customer waiting time as stereo garage efficiency evaluation index,the efficiency index simulations of the nearby allocation and the proposed partition clustering reasoning allocation were carried out. The simulation results show that the proposed allocation strategy,compared with nearby allocation strategy,can effectively shorten the customer waiting time,and the customer waiting time reduced by 9.5％. The results provide reference for the parking space allocation process of such garages,and provide decision support for improving the operation efficiency of garages.关键词
交通工程/立体车库/k-means聚类/车位分配/顾客等待时间/到达-离去时间Key words
traffic engineering/stereo garage/k-means clustering/parking space allocation/customer waiting time/arrival-departure time分类
交通工程引用本文复制引用
马尚鹏,李建国,杨波..基于时间聚类推理的立体车库车位分配策略研究[J].重庆大学学报,2024,47(8):47-54,8.基金项目
中国高校产学研创新基金(2021LDA07002) （2021LDA07002）
甘肃省自然科学基金(20JR5RA396) （20JR5RA396）
甘肃省教育厅优秀研究生"创新之星"(2022CXZX-620) （2022CXZX-620）
四电BIM工程与智能应用铁路行业重点实验室开放基金(BIMKF-2021-06).Supported by Industry Research Innovation Fund of Chinese Universities(2021LDA07002),Natural Science Foundation of Gansu Province(20JR5RA396),"Innovation Star"Excellent Postgraduates Project of Gansu Province Education Department(2022CXZX-620),and Open Fund of Key Laboratory of Four Power BIM Engineering and Intelligent Application Railway Industry(BIMKF-2021-06). （BIMKF-2021-06）
