Artificial Intelligence in transportation: Advanced technology stacks and real-world implementation for modern mobility systems
ViaPlus, Plano TX, USA.
Review Article
World Journal of Advanced Research and Reviews, 2024, 21(01), 2993-3007
Publication history:
Received on 06 December 2023; revised on 20 January 2024; accepted on 28 January 2024
Abstract:
The integration of Artificial Intelligence (AI) with advanced technology stacks has revolutionized the transportation industry, addressing critical challenges in ground transportation, autonomous vehicles, road safety, traffic management, and intelligent toll collection systems. This research examines the deployment of cutting-edge AI technologies including deep neural networks, computer vision, edge computing, IoT sensors, and cloud-native architectures in transportation infrastructure. Through comprehensive analysis of implementations by major automotive companies including Tesla, General Motors, Ford, and Waymo, this paper demonstrates how AI-powered solutions utilize technology stacks comprising TensorFlow, PyTorch, CUDA, ROS (Robot Operating System), 5G networks, and blockchain for toll management. The study presents empirical evidence of AI applications reducing traffic congestion by 30-40%, improving road safety through predictive analytics, and optimizing toll collection efficiency by 85%. Key findings reveal that machine learning algorithms integrated with real-time sensor networks enable dynamic traffic routing, predictive maintenance of infrastructure, and automated reinvestment strategies for toll revenues into smart infrastructure improvements. This analysis provides a technical framework for implementing AI solutions across transportation sectors, addressing scalability challenges, and establishing foundation for autonomous transportation ecosystems.
Keywords:
AI, Mobility Systems, PyTorch, CUDA, TensorFlow, Transportation
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Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0