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Design and performance evaluation of a parking management system for automated, multi-story and robotic parking structure

机译:自动化,多层和机器人停车结构停车管理系统的设计与绩效评估

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Purpose - The purpose of this paper is to present design and performance evaluation through simulation of a parking management system (PMS) for a fully automated, multi-story, puzzle-type and robotic parking structure with the overall objective of minimizing customer wait times while maximizing the space utilization. Design/methodology/approach - The presentation entails development and integration of a complete suite of path planning, elevator scheduling and resource allocation algorithms. The PMS aims to manage multiple concurrent requests, in real time and in a dynamic context, for storage and retrieval of vehicles loaded onto robotic carts for a fully automated, multi-story and driving-free parking structure. The algorithm suite employs the incremental informed search algorithm D* Lite with domain-specific heuristics and the uninformed search algorithm Uniform Cost Search for path search and planning. An optimization methodology based on nested partitions and Genetic algorithm is adapted for scheduling of a group of elevators. The study considered a typical business day scenario in the center of a metropolis. Findings - The simulation study indicates that the proposed design for the PMS is able to serve concurrent storage-retrieval requests representing a wide range of Poisson distributed customer arrival rates in real time while requiring reasonable computing resources under realistic scenarios. The customer waiting times for both storage and retrieval requests are within acceptable bounds, which are set as no more than 5 min, even in the presence of up to 100 concurrent storage and retrieval requests. The design is able to accommodate a variety of customer arrival rates and presence of immobilized vehicles which are assumed to be scattered across the floors of the structure to make it possible for deployment in real-time environments. Originality/value - The intelligent system design is novel as the fully automated robotic parking structures are just in the process of being matured from a technology standpoint.
机译:目的 - 本文的目的是通过模拟停车管理系统(PMS)来呈现设计和性能评估,以实现全自动,多层,拼图式和机器人停车结构,其整体目标最大限度地减少客户等待时间最大化空间利用率。设计/方法/方法 - 演示文稿需要开发和集成完整的路径规划,电梯调度和资源分配算法。 PMS旨在实时和动态上下文管理多个并发请求,用于存储和检索装载到机器人推车上的车辆,以实现全自动,多层和无驱动停车结构。算法套件采用增量通知的搜索算法D * Lite,具有域特定启发式的启发式和未知的搜索算法统一成本搜索路径搜索和规划。基于嵌套分区和遗传算法的优化方法适用于调度一组电梯。该研究审议了大都市中心的典型工作日场景。调查结果 - 模拟研究表明,该PMS的建议设计能够在实时地实时提供代表各种泊松分布式客户到货率的并发存储 - 检索请求,同时需要在现实方案下进行合理的计算资源。存储和检索请求的客户等待时间是可接受的界限,即使在存在多达100个并发存储和检索请求时,也设置为不超过5分钟。该设计能够容纳各种客户到达率和存在的固定车辆,该固定的车辆被认为分散在结构的楼层上,以便在实时环境中进行部署。原创性/值 - 智能系统设计是新颖的,因为全自动机器人停车结构正处于从技术角度熟化的过程中。

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