research
∙
06/13/2023
Can ChatGPT Enable ITS? The Case of Mixed Traffic Control via Reinforcement Learning
The surge in Reinforcement Learning (RL) applications in Intelligent Tra...
share
research
∙
06/10/2023
Long-term Microscopic Traffic Simulation with History-Masked Multi-agent Imitation Learning
A realistic long-term microscopic traffic simulator is necessary for und...
research
∙
04/14/2023
Efficient Quality-Diversity Optimization through Diverse Quality Species
A prevalent limitation of optimizing over a single objective is that it ...
research
∙
02/17/2023
Hybrid Traffic Control and Coordination from Pixels
Traffic congestion is a persistent problem in our society. Existing meth...
research
∙
01/12/2023
Learning to Control and Coordinate Hybrid Traffic Through Robot Vehicles at Complex and Unsignalized Intersections
Intersections are essential road infrastructures for traffic in modern m...
research
∙
10/21/2022
Urban Socio-Technical Systems: An Autonomy and Mobility Perspective
The future of the human race is urban. The world's population is project...
research
∙
09/21/2022
Understanding and Developing Equitable and Fair Transportation Systems
The transportation system is an interplay between infrastructure, vehicl...
research
∙
05/22/2022
AutoJoin: Efficient Adversarial Training for Robust Maneuvering via Denoising Autoencoder and Joint Learning
As a result of increasingly adopted machine learning algorithms and ubiq...
research
∙
12/02/2021
SparRL: Graph Sparsification via Deep Reinforcement Learning
Graph sparsification concerns data reduction where an edge-reduced graph...
research
∙
11/22/2021
Network-wide Multi-step Traffic Volume Prediction using Graph Convolutional Gated Recurrent Neural Network
Accurate prediction of network-wide traffic conditions is essential for ...
research
∙
10/17/2021
Black-box Adversarial Attacks on Network-wide Multi-step Traffic State Prediction Models
Traffic state prediction is necessary for many Intelligent Transportatio...
research
∙
08/10/2021
Analyzing Effects of The COVID-19 Pandemic on Road Traffic Safety: The Cases of New York City, Los Angeles, and Boston
The COVID-19 pandemic has resulted in significant social and economic im...
research
∙
02/26/2021
Improving Robustness of Learning-based Autonomous Steering Using Adversarial Images
For safety of autonomous driving, vehicles need to be able to drive unde...
research
∙
04/19/2020
Imperatives for Virtual Humans
Seemingly since the inception of virtual humans, there has been an effor...
research
∙
08/05/2019
Simulation and Learning for Urban Mobility: City-scale Traffic Reconstruction and Autonomous Driving
Traffic congestion has become one of the most critical issues worldwide....
research
∙
07/20/2019
ADAPS: Autonomous Driving Via Principled Simulations
Autonomous driving has gained significant advancements in recent years. ...
research
∙
10/29/2018
Estimating Traffic Conditions At Metropolitan Scale Using Traffic Flow Theory
The rapid urbanization and increasing traffic have serious social, econo...
research
∙
06/26/2018
