Automated eco-driving in urban scenarios using deep reinforcement learning
Urban settings are challenging environments to implement eco-driving strategies for
automated vehicles. It is often assumed that sufficient information on the preceding vehicle …
automated vehicles. It is often assumed that sufficient information on the preceding vehicle …
Energy-optimal adaptive cruise control for electric vehicles based on linear and nonlinear model predictive control
This paper presents a novel function of energy-optimal adaptive cruise control (EACC) for
electric vehicles based on model predictive control (MPC), which plans the host car's speed …
electric vehicles based on model predictive control (MPC), which plans the host car's speed …
Toward smart vehicle-to-everything-connected powertrains: Driving real component test benches in a fully interactive virtual smart city
M Eisenbarth, M Wegener, R Scheer… - IEEE Vehicular …, 2020 - ieeexplore.ieee.org
In the context of increasing electrification and the automation of future mobility, research and
development of efficient powertrains requires enhanced test methods. One important aspect …
development of efficient powertrains requires enhanced test methods. One important aspect …
Optimization-driven powertrain-oriented adaptive cruise control to improve energy saving and passenger comfort
PG Anselma - Energies, 2021 - mdpi.com
Assessing the potential of advanced driver assistance systems requires developing
dedicated control algorithms for controlling the longitudinal speed of automated vehicles …
dedicated control algorithms for controlling the longitudinal speed of automated vehicles …
Energy-optimal adaptive cruise control for electric vehicles in both time and space domain based on model predictive control
A novel energy-optimal adaptive cruise control (EACC) function based on model predictive
control (MPC) is developed for electric vehicles (EV). Through exploiting the surrounding …
control (MPC) is developed for electric vehicles (EV). Through exploiting the surrounding …
Longitudinal vehicle motion prediction in urban settings with traffic light interaction
M Wegener, F Herrmann, L Koch… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Predictive cruise control functions designed to reduce the energy consumption of intelligent
and automated vehicles require an accurate prediction of the upcoming traffic situation in …
and automated vehicles require an accurate prediction of the upcoming traffic situation in …
A Review of Scenario Similarity Measures for Validation of Highly Automated Driving
Automated driving systems have the potential to change our transportation in the future.
Since they represent safety-critical systems in an open-world context, achieving a sufficient …
Since they represent safety-critical systems in an open-world context, achieving a sufficient …
Predictive kinetic energy management for an add‐on driver assistance eco‐driving of heavy vehicles
This study presents a radar‐based predictive kinetic energy management (PKEM)
framework that is applicable as an add‐on driver assistance module for a heavy vehicle with …
framework that is applicable as an add‐on driver assistance module for a heavy vehicle with …
The “Waterfilling Algorithm”—An Efficient Approach for Vehicle Velocity Planning With Varying Velocity Limits
C Sohn, J Andert - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
A variety of longitudinal control systems employing predictive information provide a long-
term velocity profile that minimizes the cost term consisting of the superposition of energy …
term velocity profile that minimizes the cost term consisting of the superposition of energy …
Eco-Driving Optimization Based on Variable Grid Dynamic Programming and Vehicle Connectivity in a Real-World Scenario
In a context in which the connectivity level of last-generation vehicles is constantly on the
rise, the combined use of Vehicle-To-Everything (V2X) connectivity and autonomous driving …
rise, the combined use of Vehicle-To-Everything (V2X) connectivity and autonomous driving …