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learning
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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
SHapley Additive exPlanations for Explaining Artificial Neural Network Based Mode Choice 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