Affiliation:
1. Logistics System Institute, Total Soft Bank, Ltd., Busan 48002, Republic of Korea
2. Department of Computer Engineering, Tongmyong University, Busan 48520, Republic of Korea
3. School of Technology, Woxsen University, Hyderabad 502345, India
4. Department of Port Logistics System, Tongmyong University, Busan 48520, Republic of Korea
Abstract
Urban expansion has ushered in a landscape of opportunities and challenges across housing, transportation, education, health, and the economy. In response to these evolving dynamics, the application of artificial intelligence (AI) and computer vision (CV) technologies has emerged as a transformative solution. While smart traffic monitoring and advanced parking distribution systems have eased urban pressures, optimizing mobility remains pivotal in the context of burgeoning smart cities. However, the seaport industry grapples with formidable issues in the efficient transport of containers. In light of this, the fusion of AI and CV technology holds promise as a solution. This study pioneers a systematic review, representing a novel exploration, delving into a comprehensive evaluation of the existing literature. It scrutinizes the profound advantages AI and CV offer in constructing sustainable, efficient parking ecosystems within seaports. Our methodological approach encompasses data collection, rigorous quality assessment, and meticulous exploration of the application of CV and AI in the realm of smart parking management. The findings underscore the pivotal role of AI and CV technologies in the development of efficient, sustainable transportation systems, particularly for optimizing container movement within seaports. This research presents a comprehensive analysis of the literature in the area of the application of AI and CV technologies in optimizing parking management at seaports, shedding light on the potential for sustainable transportation solutions in this critical domain. As these technologies usher in enhancements in traffic management, parking space allocation, and container logistics within seaports, this study represents a vital and timely contribution to the field, serving as a cornerstone for future innovations in seaport management and the broader context of smart cities.
Funder
Ministry of Oceans and Fisheries, Korea
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Reference56 articles.
1. A smart, efficient, and reliable parking surveillance system with edge artificial intelligence on IoT devices;Ke;IEEE Trans. Intell. Transp. Syst.,2020
2. Artificial Intelligence (2023, March 22). Artificial Intelligence Noun—Definition, Pictures, Pronunciation, and Usage Notes|Oxford Advanced Learner’s Dictionary at OxfordLearnersDictionaries.com. Available online: https://www.oxfordlearnersdictionaries.com/definition/english/artificial-intelligence?q=artificial%2Bintelligence.
3. Smart city concept in the light of the literature review;Winkowska;Eng. Manag. Prod. Serv.,2019
4. Smart parking in IoT-enabled cities: A survey;Malekloo;Sustain. Cities Soc.,2019
5. Changes in the Hydrodynamic Characteristics of Ships During Port Maneuvers;Mai;J. Ocean Eng. Technol.,2022
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