Search Results for author: Zhaoxuan Zhu

Found 4 papers, 0 papers with code

Eco-Driving Control of Connected and Automated Vehicles using Neural Network based Rollout

no code implementations16 Oct 2023 Jacob Paugh, Zhaoxuan Zhu, Shobhit Gupta, Marcello Canova, Stephanie Stockar

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 route.

Autonomous Vehicles Stochastic Optimization

A GPU Implementation of a Look-Ahead Optimal Controller for Eco-Driving Based on Dynamic Programming

no code implementations3 Apr 2021 Zhaoxuan Zhu, Shobhit Gupta, Nicola Pivaro, Shreshta Rajakumar Deshpande, Marcello Canova

Predictive energy management of Connected and Automated Vehicles (CAVs), in particular those with multiple power sources, has the potential to significantly improve energy savings in real-world driving conditions.

energy management Management

A Deep Reinforcement Learning Framework for Eco-driving in Connected and Automated Hybrid Electric Vehicles

no code implementations13 Jan 2021 Zhaoxuan Zhu, Shobhit Gupta, Abhishek Gupta, Marcello Canova

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 driving conditions.

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