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01/10/2023
Passenger Path Choice Estimation Using Smart Card Data: A Latent Class Approach with Panel Effects Across Days
Understanding passengers' path choice behavior in urban rail systems is ...
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01/10/2023
Predicting Drivers' Route Trajectories in Last-Mile Delivery Using A Pair-wise Attention-based Pointer Neural Network
In last-mile delivery, drivers frequently deviate from planned delivery ...
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01/06/2023
Modeling Virus Transmission Risks in Commuting with Emerging Mobility Services: A Case Study of COVID-19
Commuting is an important part of daily life. With the gradual recovery ...
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01/03/2022
Impact of unplanned service disruptions on urban public transit systems
This paper proposes a general unplanned incident analysis framework for ...
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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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01/11/2021
Individual Mobility Prediction: An Interpretable Activity-based Hidden Markov Approach
Individual mobility is driven by demand for activities with diverse spat...
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11/23/2020
Calibrating Path Choices and Train Capacities for Urban Rail Transit Simulation Models Using Smart Card and Train Movement Data
Transit network simulation models are often used for performance and ret...
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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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01/09/2020
Dynamic Interaction between Shared Autonomous Vehicles and Public Transit: A Competitive Perspective
The emergence of autonomous vehicles (AVs) is anticipated to influence t...
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01/09/2020