Urban Air Mobility (UAM): Airport Shuttles or City-Taxis?
Advanced Air Mobility
A clear explanation of why Milan survey evidence suggests airport shuttle routes may be a stronger early Urban Air Mobility market than city t...
Research Notes & Technical Articles
Blog & Technical Articles
Notes, paper summaries, and research reflections on Advanced Air Mobility, Neurosymbolic AI, Explainable AI, demand forecasting, and machine learning.
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Urban Air Mobility Demand Forecasting: Modeling Evidence from the Case Study of Milan (Italy)
Advanced Air Mobility Machine Learning
Explore Milan UAM demand forecasts for airport shuttles, intercity services, air taxis, vertiport scenarios, fares, and traveler preferences.
Enhancing AI's Reasoning with Active Retrieval and Monte Carlo Tree Search
Explainable AI
A clear explanation of AR-MCTS, a framework that improves multimodal reasoning by combining active retrieval, Monte Carlo Tree Search, and pro...
Demystifying the Difference Between Explainable AI and Neurosymbolic AI
Neurosymbolic AI Explainable AI
A practical explanation of how Explainable AI and Neurosymbolic AI differ, where they overlap, and why both matter for trustworthy systems.
Improving Pre-Disaster Air Mobility Planning with Neural Network-Accelerated Genetic Algorithms
Advanced Air Mobility Machine Learning
A practical explanation of how neural networks can accelerate genetic algorithms for pre-disaster air mobility evacuation planning.
Why Gravity Models Struggle to Capture Temporal Migration Dynamics
Advanced Air Mobility
A clear explanation of why gravity models can fit spatial migration patterns well but fail to predict how migration changes over time.
Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks
Advanced Air Mobility Machine Learning
A clear explanation of stochastic OD matrix forecasting with matrix factorization, graph convolutional networks, and recurrent neural networks.
A Demand Forecasting Model for Urban Air Mobility in Chengdu, China
Advanced Air Mobility Machine Learning
A readable walkthrough of a four-step UAM demand forecasting model for Chengdu, China, with a focus on modal split, shared operations, and 203...
A Data-Driven Method for OD Matrix Estimation
Technical Articles
Explore data-driven origin-destination matrix estimation using traffic speed, flow, production-attraction patterns, routing, and PCA.
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25 articles
Advanced Air Mobility
Demand modeling, regional air mobility, air taxi planning, OD estimation, and transportation forecasting.
12 articles Neurosymbolic AIHybrid neural-symbolic systems, rule learning, symbolic regression, and trustworthy reasoning.
21 articles Machine LearningDeep learning, forecasting models, decision trees, knowledge distillation, and graph neural networks.
6 articles Explainable AIInterpretability, cybersecurity, trustworthy AI, and decision models that expose their reasoning.
9 articles Technical ArticlesResearch notes, paper summaries, and technical explainers that span multiple AI and mobility topics.
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