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03/03/2023
Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook
For its robust predictive power (compared to pure physics-based models) ...
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06/19/2022
Quantifying Uncertainty In Traffic State Estimation Using Generative Adversarial Networks
This paper aims to quantify uncertainty in traffic state estimation (TSE...
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06/19/2022
TrafficFlowGAN: Physics-informed Flow based Generative Adversarial Network for Uncertainty Quantification
This paper proposes the TrafficFlowGAN, a physics-informed flow based ge...
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06/06/2021
A Physics-Informed Deep Learning Paradigm for Traffic State Estimation and Fundamental Diagram Discovery
Traffic state estimation (TSE) bifurcates into two main categories, mode...
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01/17/2021
Physics-Informed Deep Learning for Traffic State Estimation
Traffic state estimation (TSE), which reconstructs the traffic variables...
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12/24/2020
A Physics-Informed Deep Learning Paradigm for Car-Following Models
Car-following behavior has been extensively studied using physics-based ...
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02/26/2020
When Do Drivers Concentrate? Attention-based Driver Behavior Modeling With Deep Reinforcement Learning
Driver distraction a significant risk to driving safety. Apart from spat...
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02/28/2018
Clustering of Naturalistic Driving Encounters Using Unsupervised Learning
Deep understanding of driving encounters could help self-driving cars ma...
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02/27/2018
