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09/10/2023
Spatiotemporal Graph Neural Networks with Uncertainty Quantification for Traffic Incident Risk Prediction
Predicting traffic incident risks at granular spatiotemporal levels is c...
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03/10/2023
Fairness-enhancing deep learning for ride-hailing demand prediction
Short-term demand forecasting for on-demand ride-hailing services is one...
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03/07/2023
Deep hybrid model with satellite imagery: how to combine demand modeling and computer vision for behavior analysis?
Classical demand modeling analyzes travel behavior using only low-dimens...
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03/07/2023
Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks
Recent studies have significantly improved the prediction accuracy of tr...
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08/11/2022
Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks
Origin-Destination (O-D) travel demand prediction is a fundamental chall...
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09/25/2021
Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models
Although researchers increasingly adopt machine learning to model travel...
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05/29/2021
Estimating air quality co-benefits of energy transition using machine learning
Estimating health benefits of reducing fossil fuel use from improved air...
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02/01/2021
Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark
Researchers have compared machine learning (ML) classifiers and discrete...
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10/22/2020
Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks
Researchers often treat data-driven and theory-driven models as two disp...
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09/16/2019
Deep Neural Networks for Choice Analysis: Architectural Design with Alternative-Specific Utility Functions
Whereas deep neural network (DNN) is increasingly applied to choice anal...
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01/02/2019
Multitask Learning Deep Neural Network to Combine Revealed and Stated Preference Data
It is an enduring question how to combine revealed preference (RP) and s...
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12/11/2018