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08/21/2023
Deep Evidential Learning for Bayesian Quantile Regression
It is desirable to have accurate uncertainty estimation from a single de...
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08/02/2023
Analyzing the Reporting Error of Public Transport Trips in the Danish National Travel Survey Using Smart Card Data
Household travel surveys have been used for decades to collect individua...
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02/28/2023
Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning
Autonomous Mobility-on-Demand (AMoD) systems are a rapidly evolving mode...
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02/20/2023
Attitudes and Latent Class Choice Models using Machine learning
Latent Class Choice Models (LCCM) are extensions of discrete choice mode...
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01/16/2023
Mind the Gap – Modelling Difference Between Censored and Uncensored Electric Vehicle Charging Demand
Electric vehicle charging demand models, with charging records as input,...
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05/03/2022
Open vs Closed-ended questions in attitudinal surveys – comparing, combining, and interpreting using natural language processing
To improve the traveling experience, researchers have been analyzing the...
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03/17/2022
Transfer learning for cross-modal demand prediction of bike-share and public transit
The urban transportation system is a combination of multiple transport m...
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07/28/2021
Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management
Bike-sharing systems are a rapidly developing mode of transportation and...
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07/06/2020
Semi-nonparametric Latent Class Choice Model with a Flexible Class Membership Component: A Mixture Model Approach
This study presents a semi-nonparametric Latent Class Choice Model (LCCM...
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02/03/2020
A Neural-embedded Choice Model: TasteNet-MNL Modeling Taste Heterogeneity with Flexibility and Interpretability
Discrete choice models (DCMs) and neural networks (NNs) can complement e...
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03/07/2019