Enhancing Smart Parking Management through Machine Learning and AI Integration in IoT Environments

Author:

Knights Vesna,Petrovska Olivera,Prchkovska Marija

Abstract

The integration of Internet of Things (IoT) technology has profoundly transformed urban life, particularly in the realm of parking management. Smart parking systems harness the capabilities of IoT to optimize parking space utilization, alleviate congestion, and elevate user experience. This chapter delves into the intricate process of data collection within IoT-enabled smart parking environments, with a specific emphasis on the seamless integration of machine learning and artificial intelligence (AI) techniques. By conducting a comprehensive analysis of various data sources, machine learning algorithms, and AI technologies, this chapter elucidates how smart parking systems leverage intelligent data collection and analysis to enhance operational efficiency and effectiveness. Through the convergence of IoT, machine learning, and AI, smart parking systems are poised to revolutionize urban mobility and drive sustainable urban development.

Publisher

IntechOpen

Reference53 articles.

1. Ashton K. That ‘internet of things’ thing. RFID Journal. Jun 22, 2009;(7):97-114

2. Panetta K. Gartner top 10 strategic technology trends for 2018. Gartner [Internet]. 2017 Oct 3. Available from: [Accessed: August 12, 2024]

3. Cisco. Cisco Annual Internet Report (2018–2023) White Paper [Internet]. Available from: [Accessed: August 12, 2024]

4. Khanna A, Kaur S. Internet of Things (IoT), Applications and Challenges: A Comprehensive Review. Wireless Personal Communications. 2020;:1687-1762. DOI: 10.1007/s11277-020-07446-4

5. Khan S, Ali R, Baig Z, Erwin A. IoT-based smart parking: A review on technology, solution and research prospects. Journal of Advanced Transportation. 2018;:1-11. DOI: 10.1155/2018/4125085

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3