基于元胞自动机的地下停车场内自动导引运输车选址研究

AGV Parking Area Site Selection Based on Cellular Automata

自动导引运输车(AGV)停车作为高度自动化、模块化的智慧停车技术,可快速定位空余泊位并实现停车入库,提升停车效率。针对目前传统泊位与AGV泊位相结合的停车场合理布局设计缺少系统研究的现状,基于元胞自动机微观仿真技术,提出在传统地下停车场规划AGV停车区域的仿真评价流程。首先,提出基于场内交通特性和功能的组团划分方法;其次,以某市商业综合体单层地下停车场为研究对象构建仿真模型,在各组团内规划AGV停车区的方案进行局部仿真,比较方案优劣;最后,采用全局仿真对局部仿真得到的初步结论进行验证,得到在规整区域规划AGV停车区是最合理有效的传统地下停车场AGV方案。

As a highly automated and modular smart parking technology,Automated Guided Vehicle Parking Technology can help locate vacant parking spaces and help finding parking space,which improves parking efficiency.Aiming at building parking lot combining traditional form and AGV form facing the problem of lack of systematic research,a simulation evaluation process for planning AGV parking areas in traditional underground parking lots is proposed,which based on the cellular automata micro-simulation.Firstly,a group division method based on the traffic characteristics and functions is proposed.Secondly,a simulation model is constructed based on the underground parking lot in a certain city as the research object,which is used to simulate and compare the best reform scheme for AGV parking zone.Finally,further proving the conclusion that planning the AGV parking area in the order zone is the most reasonable and effective using global simulation.