For its robust predictive power (compared to pure physics-based models) ...
This paper aims to quantify uncertainty in traffic state estimation (TSE...
This paper proposes the TrafficFlowGAN, a physics-informed flow based
ge...
Traffic state estimation (TSE) bifurcates into two main categories,
mode...
This paper develops a reinforcement learning (RL) scheme for adaptive tr...
Traffic state estimation (TSE), which reconstructs the traffic variables...
Car-following behavior has been extensively studied using physics-based
...
This paper aims to develop a unified paradigm that models one's learning...
This paper serves as an introduction and overview of the potentially use...
Behavior prediction plays an essential role in both autonomous driving
s...
Driver distraction a significant risk to driving safety. Apart from spat...
A large portion of the passenger requests is reportedly unserviced, part...
The Waymo Open Dataset has been released recently, providing a platform ...
Autonomous vehicles (AVs) are inevitably entering our lives with potenti...
Vacant taxi drivers' passenger seeking process in a road network generat...