[HTML][HTML] A Review of Reinforcement Learning-Based Powertrain Controllers: Effects of Agent Selection for Mixed-Continuity Control and Reward Formulation

D Egan, Q Zhu, R Prucka - Energies, 2023 - mdpi.com
One major cost of improving the automotive fuel economy while simultaneously reducing
tailpipe emissions is increased powertrain complexity. This complexity has consequently …

Adaptive cruise control based on real-time dds middleware

B Almadani, N Alshammari, A Al-Roubaiey - IEEE Access, 2023 - ieeexplore.ieee.org
This paper discusses the Adaptive Cruise Control (ACC) system, which is a solution that
allows drivers to minimize the amount of time spent driving. It supports four different driving …

[HTML][HTML] Increasing the safety of adaptive cruise control using physics-guided reinforcement learning

SL Jurj, D Grundt, T Werner, P Borchers, K Rothemann… - Energies, 2021 - mdpi.com
This paper presents a novel approach for improving the safety of vehicles equipped with
Adaptive Cruise Control (ACC) by making use of Machine Learning (ML) and physical …

Reinforcement learning in car control: A brief survey

D Kalandyk - 2021 Selected Issues of Electrical Engineering …, 2021 - ieeexplore.ieee.org
Autonomous Vehicles (AVs) from a far foggy dream and cartoon Action, are becoming more
and more real nowadays. Realizing this dream can have many benefits both in terms of …

Motion estimation of connected and automated vehicles under communication delay and packet loss of V2X communications

Z Wang, K Han, P Han - arXiv preprint arXiv:2101.07756, 2021 - arxiv.org
The emergence of the connected and automated vehicle (CAV) technology enables
numerous advanced applications in our transportation system, benefiting our daily travels in …

[HTML][HTML] Learning-based cooperative adaptive cruise control

J Mirwald, J Ultsch, R de Castro, J Brembeck - Actuators, 2021 - mdpi.com
Traffic congestion and the occurrence of traffic accidents are problems that can be mitigated
by applying cooperative adaptive cruise control (CACC). In this work, we used deep …

A Testing and Verification Approach to Tune Control Parameters of Cooperative Driving Automation Under False Data Injection Attacks

JC Holland, F Javidi-Niroumand, A Ala'J… - IEEE …, 2024 - ieeexplore.ieee.org
Control systems are used in safety-critical applications where tuning the system parameters
is required to ensure safe and secure operation. The process of tuning these parameters …

Freeway congestion management on multiple consecutive bottlenecks with RL‐based headway control of autonomous vehicles

L Elmorshedy, I Smirnov… - IET Intelligent Transport …, 2024 - Wiley Online Library
Adaptive cruise control (ACC) is the core building block of future full autonomous driving.
Numerous recent research demonstrated that Autonomous Vehicles (AVs) adopting shorter …

Position: Do Not Explain Vision Models Without Context

P Tomaszewska, P Biecek - Forty-first International Conference on Machine … - openreview.net
Does the stethoscope in the picture make the adjacent person a doctor or a patient? This, of
course, depends on the contextual relationship of the two objects. If it's obvious, why don't …

Accelerating the Derivation of Optimal Powertrain Control Strategies Using Reinforcement Learning and Virtual Prototypes

D Egan - 2023 - tigerprints.clemson.edu
The push for improvements in fuel economy while reducing tailpipe emissions has resulted
in significant increases in automotive powertrain complexity, subsequently increasing the …