A Systematic Review of Computer Vision and AI in Parking Space Allocation in a Seaport

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.

Maritime shipping ports performance: a systematic literature review

“…They proposed using virtual and augmented reality and Global Positioning System (GPS) technologies through simulation games in the dynamic port industry that can train and develop professionals who handle port planning, operations, and management. Meanwhile, Lee et al [84] underlined the crucial role of AI and computer vision technology in response to dynamics in the port industry, specifically focusing on intelligent traffic management and parking space and container operations optimization in maritime ports. Applications of AIS and IoT through the "Smart Port" concept were detailed by Rajabi et al [82] to overcome the challenges in port operations in the dynamic environment within which the port operates.…”

Real-time number plate detection using AI and ML

“…The paragraphs accompanying each table and chart provide detailed explanations and insights into the presented results, elucidating the significance of each aspect in the development of a cutting-edge number plate detection system. (24,25)…”

AI-Powered Intelligent Seaport Mobility: Enhancing Container Drayage Efficiency through Computer Vision and Deep Learning

“…However, a prominent void exists within the literature regarding the precise application of these advanced technologies within the domain of container drayage operations in seaports [21]. Seaports present unique challenges, including dynamic environments, varying lighting conditions, and the presence of substantial container volumes.…”