IPLMS:智能停车场管理系统

Jiameng Wang, Stefanie Gebara, Zhengyi Sun, Qi Wu, Keqin Zong, Hao Sun, A. Farajidavar
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引用次数: 9

摘要

在本文中,我们介绍了一种智能代客泊车管理系统,该系统可以引导车辆在停车场内自动停车。智能停车场管理系统(IPLMS)由两个模块组成:1)一个带有一组微控制器和传感器的模型车,该模型车可以扫描环境以寻找合适的停车位并避免与障碍物碰撞,以及一个停车场管理系统(IPLMS),该系统可以筛选停车场内的停车位并为汽车提供指导。模型车采用模糊逻辑算法在停车场内自主机动,并使用停车算法在IPLMS确定的位置执行停车。汽车通过无线通信链路接收来自IPLMS的指令。IPLMS具有被任何停车管理系统采用的灵活性,并且可以潜在地节省客户寻找停车位和/或从无法进入的停车位漫步的时间。此外,IPLMS可以通过提供易于安装的自动引导代客停车系统来减轻停车场管理的经济负担。
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IPLMS: An intelligent parking lot management system
In this paper, we are introducing an intelligent valet parking management system that guides the cars to autonomously park within a parking lot. The IPLMS for Intelligent Parking Lot Management System, consists of two modules: 1) a model car with a set of micro-controllers and sensors which can scan the environment for suitable parking spot and avoid collision to obstacles, and a Parking Lot Management System (IPLMS) which screens the parking spaces within the parking lot and offers guidelines to the car. The model car has the capability to autonomously maneuver within the parking lot using a fuzzy logic algorithm, and execute parking in the spot determined by the IPLMS, using a parking algorithm. The car receives the instructions from the IPLMS through a wireless communication link. The IPLMS has the flexibility to be adopted by any parking management system, and can potentially save the clients time to look for a parking spot, and/or to stroll from an inaccessible parking space. Moreover, the IPLMS can decrease the financial burden from the parking lot management by offering an easy-to-install system for self-guided valet parking.
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