SoftwareApplication
name: mpcrl-vehicle-gears
description: Software underlying publications: Learning-based MPC for fuel efficient control of autonomous vehicles with discrete gear selection and Reinforcement Learning with Distributed MPC for Fuel-Efficient Platoon Control with Discrete Gear Transitions
description: This data contains source code for reproducing all experiments and results in the publication. This research proposes a new learning-based model predictive controller for hybrid vehicles with explicit gear control. The data consists of python files that are used to run the control simulations and generate time series data of the simulated vehicles.
code repository: https://data.4tu.nl/v3/datasets/9ac720eb-b79a-4ff5-b86f-6b16853d242d.git
author: https://orcid.org/0000-0001-5842-3813
keywords: Model predictive control
keywords: vehicle platooning
keywords: autonomous driving
keywords: Reinforcement learning
programming language: Markdown
programming language: Other
programming language: Python
license:
  creative work: creativeWork
    name: CC-BY-4.0
reference publication: lcsys.2025.3575335

https://orcid.org/0000-0001-5842-3813
type: Person
given name: Sam
family name: Mallick
name: Sam Mallick

lcsys.2025.3575335
type: ScholarlyArticle
name: Learning-Based MPC for Fuel Efficient Control of Autonomous Vehicles With Discrete Gear Selection
pagination: 1117-1122
url: https://doi.org/10.1109%2Flcsys.2025.3575335