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A hybrid machine learning model for predicting Real-Time secondary crash likelihood
Machine learning estimates of plug-in hybrid electric vehicle utility factors
Using explainable machine learning to understand how urban form shapes sustainable mobility
Simulation of supersonic axisymmetric base flow with a data-driven turbulence model
A data analytics framework for anomaly detection in flight operations
A crash severity analysis at highway-rail grade crossings: The random survival forest method
Ensemble learning activity scheduler for activity based travel demand models
Domino effect in marine accidents: Evidence from temporal association rules
Fusion of a machine learning approach and classical orbit predictions
Machine learning-driven algorithms for the container relocation problem
Real-time accident detection: Coping with imbalanced data
Bike-sharing or taxi? Modeling the choices of travel mode in Chicago using machine learning
Forecasting total electron content (TEC) using CEEMDAN LSTM model
Illustrating nonlinear effects of built environment attributes on housing renters’ transit commuting
Effectiveness of trip planner data in predicting short-term bus ridership
A prediction and behavioural analysis of machine learning methods for modelling travel mode choice
Modelling inland Arctic bathymetry from space using cloud-based machine learning and Sentinel-2
Spatial disparity of individual and collective walking behaviors: A new theoretical framework
Applications of machine learning methods in port operations – A systematic literature review
Gender differences in active travel among older adults: Non-linear built environment insights
A tropical Atlantic dynamics analysis by combining machine learning and satellite data
Sharing behavior in ride-hailing trips: A machine learning inference approach
A data-driven hybrid control framework to improve transit performance
A novel self-organizing constructive neural network for estimating aircraft trip fuel consumption
Physical interpretation of neural network-based nonlinear eddy viscosity models
Online transportation network cyber-attack detection based on stationary sensor data
Predicting the likelihood of airspace user rerouting to mitigate air traffic flow management delay
Quantification of model uncertainty in RANS simulations: A review
Gaussian Processes for improving orbit prediction accuracy
A Comprehensive Railroad-Highway Grade Crossing Consolidation Model: A Machine Learning Approach