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Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona
Predicting passenger satisfaction in public transportation using machine learning models
In-store shopping trip predictions and impact factors during COVID-19 emergencies
Travel behavior and system dynamics in a simple gamified automated multimodal network
DeepAD: An integrated decision-making framework for intelligent autonomous driving
Urban network geofencing with dynamic speed limit policy via deep reinforcement learning
A state-of-the-art survey of deep learning models for automated pavement crack segmentation
Identification of optimal locations of adaptive traffic signal control using heuristic methods
Enhancing Vibration-based Damage Assessment with 1D-CNN: Parametric Studies and Field Applications
Machine Learning Based Compressive Strength Prediction Model for CFRP-confined Columns
Effectiveness of an Immersive VR System for Construction Site Planning Education
A data-driven decision support system for service completion prediction in last mile logistics
Ineffective built environment interventions: How to reduce driving in American suburbs?
The impacts of visual street environments on obesity: The mediating role of walking behaviors
Ensemble-based Deep Learning Approach for Performance Improvement of BIM Element Classification
Seismic Acceleration Estimation Method at Arbitrary Position Using Observations and Machine Learning
Reshaping China's urban networks and their determinants: High-speed rail vs. air networks
Transportation resilience under Covid-19 Uncertainty: A traffic severity analysis