10 citations · 14 across the 6 of their papers we have counts for
7 papers
Eco-Driving Control of Connected and Automated Vehicles using Neural Network based Rollout
Jacob Paugh, Zhaoxuan Zhu, Shobhit Gupta +2
Connected and autonomous vehicles have the potential to minimize energy consumption by optimizing the vehicle velocity and powertrain dynamics with Vehicle-to-Everything info en ro…
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…
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…
Safe Model-based Off-policy Reinforcement Learning for Eco-Driving in Connected and Automated Hybrid Electric Vehicles
Zhaoxuan Zhu, Nicola Pivaro, Shobhit Gupta +2
Connected and Automated Hybrid Electric Vehicles have the potential to reduce fuel consumption and travel time in real-world driving conditions. The eco-driving problem seeks to de…
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…
A Deep Reinforcement Learning Framework for Eco-driving in Connected and Automated Hybrid Electric Vehicles
Zhaoxuan Zhu, Shobhit Gupta, Abhishek Gupta +1
Connected and Automated Vehicles (CAVs), in particular those with multiple power sources, have the potential to significantly reduce fuel consumption and travel time in real-world…