Interpretable data-driven demand modelling for on-demand transit services
Nonlinear and threshold effects of the built environment on e-scooter sharing ridership
Representative truck activity patterns from anonymous mobile sensor data
The impact of the combination equilibrium of horizontal and sag-vertical curves on safety
Estimation of daily bicycle traffic using machine and deep learning techniques
Tree-Based Ensemble Methods: Predicting Asphalt Mixture Dynamic Modulus for Flexible Pavement Design
Imputing trip purposes for long-distance travel
Imputing trip purposes for long-distance travel
Parking Availability Prediction in Smart City
Transportation Mode Detection by Using Smartphones and Smartwatches with Machine Learning
Flood Hazard Rating Prediction for Urban Areas Using Random Forest and LSTM
Prediction of the Impact of Typhoons on Transportation Networks with Support Vector Regression
Machine learning for multi-jurisdictional optimal traffic corridor control
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
Seismic Acceleration Estimation Method at Arbitrary Position Using Observations and Machine Learning
Trends, Issues, and Challenges in the Domain of IoT-Based Vehicular Cloud Network
Investigation of Meta-heuristics Algorithms in ANN Streamflow Forecasting
Do Perceptions of Hydrogen Energy Effect on Vehicle Preference? A Learning-Based Model Approach
A BO-LSTM-Based Rapid Evaluation Method of PCCP Structural Safety under Falling Rock Impacts
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