Predicting passenger satisfaction in public transportation using machine learning models
Modeling of the COVID-19 impact on air passenger traffic in the US, European countries, and China
A branch-and-cut algorithm for scheduling train platoons in urban rail networks
Converting passenger aircraft into cargo planes under volatile market demand
Resilience analysis of an urban rail transit for the passenger travel service
Comparison of artificial neural networks and regression analysis for airway passenger estimation
Modeling real-world diesel car tailpipe emissions using regression-based approaches
Exploring university students’ acceptability of autonomous vehicles and urban air mobility