Towards the development of smart parking system using mobile and web technologies

S. El-Seoud, H. El-Sofany, Islam Taj-Eddine
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引用次数: 16

Abstract

As an important component of traffic system, parking management system is playing an important role and affecting people's daily life. By detecting and processing the information from parking lots, smart parking system allows drivers to obtain real-time parking information and alleviates parking contentions. The use of intelligent systems have become the most prevalent among the world contribute to the implementation of daily business in a more efficient and flexible reveal. In this research study we show the importance of using smart parking systems. Our design goals of the smart parking systems include: simplify the operations of parking systems, improve drivers' satisfaction, increase parking revenue, and alleviate traffic congestion. Through analysis, design, implementation and testing phases, we introduce the proposed reservation-based parking system prototype that has the potential to achieve the above goals. We used Cronbach's alpha to measure the validity and stability of the study questionnaire items. We also used the Spearman Correlation analysis for determining the impact factors such as: city, age, gender, car type, job, educational level, monthly salary and credit card type, in using intelligent systems via mobile or computer application, for smart parking reservation.
利用移动和网络技术开发智能停车系统
停车管理系统作为交通系统的重要组成部分,发挥着重要作用,影响着人们的日常生活。智能停车系统通过对来自停车场的信息进行检测和处理,使驾驶员能够实时获取停车信息,缓解停车纠纷。智能系统的使用已成为世界范围内最为普遍的,有助于在日常业务的实施中更加高效和灵活的展现。在这项研究中,我们展示了使用智能停车系统的重要性。我们的智能停车系统的设计目标包括:简化停车系统的操作,提高司机的满意度,增加停车收入,缓解交通拥堵。通过分析、设计、实现和测试,我们提出了基于预约的停车系统原型,该系统具有实现上述目标的潜力。我们使用Cronbach's alpha来衡量研究问卷项目的效度和稳定性。我们还使用Spearman相关分析来确定城市、年龄、性别、汽车类型、工作、教育程度、月薪和信用卡类型等因素在通过移动或计算机应用智能系统进行智能停车预订中的影响因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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