The surge in Reinforcement Learning (RL) applications in Intelligent
Tra...
A realistic long-term microscopic traffic simulator is necessary for
und...
A prevalent limitation of optimizing over a single objective is that it ...
Traffic congestion is a persistent problem in our society. Existing meth...
Intersections are essential road infrastructures for traffic in modern
m...
The future of the human race is urban. The world's population is project...
The transportation system is an interplay between infrastructure, vehicl...
As a result of increasingly adopted machine learning algorithms and
ubiq...
Graph sparsification concerns data reduction where an edge-reduced graph...
Accurate prediction of network-wide traffic conditions is essential for
...
Traffic state prediction is necessary for many Intelligent Transportatio...
The COVID-19 pandemic has resulted in significant social and economic im...
For safety of autonomous driving, vehicles need to be able to drive unde...
Seemingly since the inception of virtual humans, there has been an effor...
Traffic congestion has become one of the most critical issues worldwide....
Autonomous driving has gained significant advancements in recent years.
...
The rapid urbanization and increasing traffic have serious social, econo...
Connected vehicles (CVs) can capture and transmit detailed data such as
...