research
∙
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) ...
share
research
∙
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...
research
∙
01/17/2021
Physics-Informed Deep Learning for Traffic State Estimation
Traffic state estimation (TSE), which reconstructs the traffic variables...
research
∙
12/24/2020
A Physics-Informed Deep Learning Paradigm for Car-Following Models
Car-following behavior has been extensively studied using physics-based ...
research
∙
07/10/2020
A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning
This paper serves as an introduction and overview of the potentially use...
research
∙
02/14/2020
An LSTM-Based Autonomous Driving Model Using Waymo Open Dataset
The Waymo Open Dataset has been released recently, providing a platform ...
research
∙
12/02/2017