Conference TEHI, November 07-08-Samarkhand, Uzbekistan
Smart Mobility, Transportation & Energy Systems
Project Title:
AI for Smart Mobility, Transportation Safety, and Energy-Efficient Systems
Overview:
This project focuses on applying AI to transportation safety, electric and new-energy vehicles, and intelligent mobility systems.
Key Research Focus Areas:
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AI-driven fault detection in New Energy Vehicles (NEVs)
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Transportation system safety and optimization
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Predictive maintenance for smart mobility systems
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Renewable energy integration and efficiency modeling
Current Outcomes:
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NEV fault prediction models
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Transportation safety analytics
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Energy optimization frameworks
Funding & Collaboration Relevance:
Aligned with DOE, DOT, FAA, automotive industry, and smart transportation initiatives.
Published papers:
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Paper Name |
Keywords |
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trip mode choice, XAI, SHAP, travel behavior, NHTS, transportation, machine learning |
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Energy-Optimal Routing Optimization for Connected and Autonomous Vehicles in Urban Networks |
autonomous vehicles, energy optimization, routing, urban networks, CAV, numerical modeling |
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blockchain, energy transactions, fraud detection, AI, smart grid, energy market, security |
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smart city, streetlight control, machine learning, energy optimization, IoT, LED, urban infrastructure |
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