3 citations · 3 across the 5 of their papers we have counts for
7 papers
Data-driven Driver Model for Speed Advisory Systems in Partially Automated Vehicles
Olivia Jacome, Shobhit Gupta, Stephanie Stockar +1
Vehicle control algorithms exploiting connectivity and automation, such as Connected and Automated Vehicles (CAVs) or Advanced Driver Assistance Systems (ADAS), have the opportunit…
Model Predictive Control for Automotive Climate Control Systems via Value Function Approximation
Dennis Kibalama, Yuxing Liu, Stephanie Stockar +1
Among the auxiliary loads in light-duty vehicles, the air conditioning system is the single largest energy consumer. For electrified vehicles, the impact of heating and cooling loa…
Real-time Eco-Driving Control in Electrified Connected and Autonomous Vehicles using Approximate Dynamic Programming
Shreshta Rajakumar Deshpande, Shobhit Gupta, Abhishek Gupta +1
Connected and Automated Vehicles (CAVs), particularly those with a hybrid electric powertrain, have the potential to significantly improve vehicle energy savings in real-world driv…
Eco-Driving of Connected and Autonomous Vehicles with Sequence-to-Sequence Prediction of Target Vehicle Velocity
Shobhit Gupta, Marcello Canova
The Eco-Driving control problem seeks to perform fuel efficient speed planning for a Connected and Autonomous Vehicle (CAV) that can exploit information available from advanced map…
A GPU Implementation of a Look-Ahead Optimal Controller for Eco-Driving Based on Dynamic Programming
Zhaoxuan Zhu, Shobhit Gupta, Nicola Pivaro +2
Predictive energy management of Connected and Automated Vehicles (CAVs), in particular those with multiple power sources, has the potential to significantly improve energy savings…
An Algorithm to Warm Start Perturbed (WASP) Constrained Dynamic Programs
Abhishek Gupta, Shreshta Rajakumar Deshpande, Marcello Canova
Receding horizon optimal control problems compute the solution at each time step to operate the system on a near-optimal path. However, in many practical cases, the boundary condit…