Abstract

Smart parking is becoming more and more an integral part of smart city initiatives. Utilizing and managing parking areas is a challenging task as space is often limited, finding empty spaces are hard and citizens want to park their vehicles close to their preferred places. This becomes worse in important/posh areas of major metropolitan cities during rush hour. Due to unavailability of proper parking management system, citizens have to roam around a lot in order to find a suitable parking area. This leads to the wastage of valuable time, unnecessary fuel consumption and environmental pollution. This paper proposes a smart parking management system (SPMS) based on multiple criteria based parking space reservation algorithm (MCPR) that allows the driver/owner of vehicles to find and reserve most appropriate parking space from anywhere at any time. The system also considers the concept of dynamic pricing strategy for calculating parking charge in order to gain more revenue by the government agencies as well as private investors. The system employs sensors to calculate concentration index, average inter-arrival time of vehicles of a parking area for better parking management and planning. The simulation results show that proposed system reduces the average extra driving required by the users to find a parking area and hence it will reduce traffic congestion, which in turn reduces air pollution caused by unnecessary driving to find a proper parking area.

中文翻译：

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动态定价的智能停车管理系统

摘要

智能停车越来越成为智慧城市计划不可或缺的一部分。利用和管理停车区是一项具有挑战性的任务，因为空间通常有限，很难找到空位，而且市民希望将车辆停在他们喜欢的地方附近。在高峰时段，在主要大都市的重要/豪华地区，情况变得更糟。由于缺乏适当的停车管理系统，市民不得不四处走动才能找到合适的停车区。这会导致宝贵时间的浪费、不必要的燃料消耗和环境污染。本文提出了一种基于多标准的停车位预留算法（MCPR）的智能停车管理系统（SPMS），它允许车辆的驾驶员/车主随时随地查找和预留最合适的停车位。该系统还考虑了动态定价策略的概念来计算停车费，以便政府机构和私人投资者获得更多收入。该系统采用传感器计算停车区域车辆的集中度指数、平均间隔时间，以便更好地进行停车管理和规划。仿真结果表明，所提出的系统减少了用户寻找停车位所需的平均额外驾驶，从而减少了交通拥堵，进而减少了因寻找合适停车位而不必要的驾驶造成的空气污染。停车区车辆平均到达间隔时间，以便更好地进行停车管理和规划。仿真结果表明，所提出的系统减少了用户寻找停车位所需的平均额外驾驶，从而减少了交通拥堵，进而减少了因寻找合适停车位而不必要的驾驶造成的空气污染。停车区车辆平均到达间隔时间，以便更好地进行停车管理和规划。仿真结果表明，所提出的系统减少了用户寻找停车位所需的平均额外驾驶，从而减少了交通拥堵，进而减少了因寻找合适停车位而不必要的驾驶造成的空气污染。