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Scour Depth Evaluation of a Bridge with a Complex Pier Foundation
Scour Depth Evaluation of a Bridge with a Complex Pier Foundation
Bridges across borders: A clustering approach to support EU regional policy
A data-driven decision support system for service completion prediction in last mile logistics
Using machine learning for direct demand modeling of ridesourcing services in Chicago
Gaussian process regression for forecasting battery state of health
Exploring the non-linear associations between spatial attributes and walking distance to transit
Predicting passenger satisfaction in public transportation using machine learning models
Ineffective built environment interventions: How to reduce driving in American suburbs?
Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona
Forecasting road traffic conditions using a context-based random forest algorithm
Predicting weather-induced delays of high-speed rail and aviation in China
Bike-sharing or taxi? Modeling the choices of travel mode in Chicago using machine learning
Domino effect in marine accidents: Evidence from temporal association rules
A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything
Development of Wave Overtopping Formulas for Inclined Seawalls using GMDH Algorithm
Predicting disruptions and their passenger delay impacts for public transport stops
Statistical and machine learning approach for planning dial-a-ride systems
Radar Waveforms and Their Mathematical Models
Transportation resilience under Covid-19 Uncertainty: A traffic severity analysis
Medium-term public transit route ridership forecasting: What, how and why? A case study in Lyon
Machine Learning Approach for Constructing Wet Clutch Torque Transfer Function
A methodology to develop a geospatial transportation typology
Container terminal daily gate in and gate out forecasting using machine learning methods
Reshaping China's urban networks and their determinants: High-speed rail vs. air networks
In-store shopping trip predictions and impact factors during COVID-19 emergencies