Interpretable data-driven demand modelling for on-demand transit services
The impact of the combination equilibrium of horizontal and sag-vertical curves on safety
Nonlinear and threshold effects of the built environment on e-scooter sharing ridership
Estimation of daily bicycle traffic using machine and deep learning techniques
Tree-Based Ensemble Methods: Predicting Asphalt Mixture Dynamic Modulus for Flexible Pavement Design
Flood Hazard Rating Prediction for Urban Areas Using Random Forest and LSTM
Imputing trip purposes for long-distance travel
Imputing trip purposes for long-distance travel
Transportation Mode Detection by Using Smartphones and Smartwatches with Machine Learning
Parking Availability Prediction in Smart City
Machine learning for multi-jurisdictional optimal traffic corridor control
Prediction of the Impact of Typhoons on Transportation Networks with Support Vector Regression
Predicting Hydrological Drought Alert Levels Using Supervised Machine-Learning Classifiers
Inferring Trip Destination Purposes for Trip Records Collected through Smartphone Apps
Machine Learning Based Compressive Strength Prediction Model for CFRP-confined Columns
Trends, Issues, and Challenges in the Domain of IoT-Based Vehicular Cloud Network
Seismic Acceleration Estimation Method at Arbitrary Position Using Observations and Machine Learning
Investigation of Meta-heuristics Algorithms in ANN Streamflow Forecasting
Do Perceptions of Hydrogen Energy Effect on Vehicle Preference? A Learning-Based Model Approach
Data-Driven Approach for the Rapid Simulation of Urban Flood Prediction
A Machine Learning Tool for Pavement Design and Analysis
Pioneering Data Quality and Security in Smart Grid