Smart City Gnosys

Smart city article details

Title	Internet Of Things And Artificial Intelligence For Secure And Sustainable Green Mobility: A Multimodal Data Fusion Approach To Enhance Efficiency And Security
ID_Doc	32921
Authors	Reis M.J.C.S.
Year	2025
Published	Multimodal Technologies and Interaction, 9, 5
DOI	http://dx.doi.org/10.3390/mti9050039
Abstract	The increasing complexity of urban mobility systems demands innovative solutions to address challenges such as traffic congestion, energy inefficiency, and environmental sustainability. This paper proposes an IoT and AI-driven framework for secure and sustainable green mobility, leveraging multimodal data fusion to enhance traffic management, energy efficiency, and emissions reduction. Using publicly available datasets, including METR-LA for traffic flow and OpenWeatherMap for environmental context, the framework integrates machine learning models for congestion prediction and reinforcement learning for dynamic route optimization. Simulation results demonstrate a 20% reduction in travel time, 15% energy savings per kilometer, and a 10% decrease in CO2 emissions compared to baseline methods. The modular architecture of the framework allows for scalability and adaptability across various smart city applications, including traffic management, energy grid optimization, and public transit coordination. These findings underscore the potential of IoT and AI technologies to revolutionize urban transportation, contributing to more efficient, secure, and sustainable mobility systems. © 2025 by the author.
Author Keywords	artificial intelligence; deep learning; green mobility; IoT; machine learning; multimodal data fusion; security; sustainability

Similar Articles

Id	Similarity	Authors	Title	Published
54093	0.908	Chandra S.	Sustainable Urban Mobility And Smart Traffic Management: Balancing Optimization With Environmental Sustainability Goals	Machine Learning and Robotics in Urban Planning and Management (2025)
5377	0.902	Salunke M.B.; Kulkarni S.V.; Ovale S.; Manjre B.M.; Limkar S.; Shaikh F.; Sai V.	A Sustainable Iot-Based Smart Transportation System For Urban Mobility	WSN and IoT: An Integrated Approach for Smart Applications (2024)
34056	0.902	Mutambik I.	Iot-Enabled Adaptive Traffic Management: A Multiagent Framework For Urban Mobility Optimisation	Sensors, 25, 13 (2025)
25834	0.897	Elbroumi S.; Idrissi M.A.; Chaaouan M.; Eddahmouny H.	Exploring Trends, Perspectives, And Challenges Of Artificial Intelligence In Sustainable Mobility: A Systematic Review	Utilizing Technology to Manage Territories (2025)
32238	0.897	Jain V.; Mitra A.	Integrative Hybrid Information Systems For Enhanced Traffic Maintenance And Control In Bangalore: A Synchronized Approach	Hybrid Information Systems: Non-Linear Optimization Strategies with Artificial Intelligence (2024)
6636	0.896	Jaramillo-Alcazar A.; Govea J.; Villegas-Ch W.	Advances In The Optimization Of Vehicular Traffic In Smart Cities: Integration Of Blockchain And Computer Vision For Sustainable Mobility	Sustainability (Switzerland), 15, 22 (2023)
27466	0.893	Gantla H.R.; Pandey S.K.; Mantha S.; Goyal P.; Jabeen A.; Fatima S.; Mamodiya U.	Fusion Of Real-Time Traffic And Environmental Sensor Data With Machine Learning For Optimizing Smart City Operations	Fusion: Practice and Applications, 19, 2 (2025)
9789	0.892	Lakshumiah A.; Malaiarasan A.; Packianathan R.; Natarajan S.K.; Arumugam G.	Application Of Artificial Intelligence (Ai) Techniques For Green Transportation In Smart City	Lecture Notes in Intelligent Transportation and Infrastructure, Part F64 (2025)
54070	0.889	Musa A.A.; Malami S.I.; Alanazi F.; Ounaies W.; Alshammari M.; Haruna S.I.	Sustainable Traffic Management For Smart Cities Using Internet-Of-Things-Oriented Intelligent Transportation Systems (Its): Challenges And Recommendations	Sustainability (Switzerland), 15, 13 (2023)
58377	0.889	Alam T.; Gupta R.; Ahamed N.N.; Ullah A.; Almaghthwi A.	Towards Sustainable Iot-Based Smart Mobility Systems In Smart Cities	GeoJournal, 89, 6 (2024)