Digital Twins: Transforming Urban Planning, Fashion, Human Simulation, and Maritime Logistics
Year: 2025
Type: article
Abstract: Imagine a world where cities self-organize, fashion designs evolve autonomously, and ships navigate oceans with ease and accuracy. This scene is not from a futuristic novel but the transformative promise of digital twin technology. Digital twins are virtual replicas of real-world physical objects, systems, and even human beings, harnessing real-time data alongside next-generation artificial intelligence and 3D-modeling software to simulate and predict our surroundings like never before. In this paper, we explore how digital twins are helping reshape four key sectors, namely: urban planning, fashion, human simulation, and maritime logistics. Urban planners are now leveraging full-scale 3D models of entire infrastructures and converting drone-captured imagery into detailed, dynamic cityscapes—facilitating smarter land use, streamlining traffic flow, and enabling proactive maintenance. In the fast-fashion industry, digital twin technology is being utilized to capture the nuances of human form through photogrammetric camera spheres and to simulate virtual garment trials and advertisements—accelerating design iteration and driving more innovative marketing campaigns. Meanwhile, human digital twins—constructed from diverse multimodal data sources including video, audio, and physiological signals, and powered by large language models—can offer personalized insights and preserve legacies of influential figures. In maritime operations, digital twins optimize ship design, port operations, and logistic flows with real-time 3D tracking, cutting emissions while boosting safety and sustainability. As these digital mirrors continue to evolve, they are making our cities smarter and more interconnected, enriching quality of life with profound societal impact.
Authors: Choppa Guna Sundar, Kishen K, Zayaraz Godandanpani
Institution: Puducherry Technological University
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6911918240
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