Assessment of Algorithms for a Real-Time Optimization of the Vehicle Speed

verfasst von

Daniel Fink, Yannik Schulz, Zygimantas Ziaukas, Christoph Schweers, Ahmed Trabelsi, Hans-Georg Jacob

Abstract

Targeting a resource-efficient automotive traffic, modern assistant systems include speed optimization algorithms to minimize the energy demand, based on route data. For this purpose, this paper compares different optimization approaches, such as dynamic programming (DP), an A*- algorithm as well as various adaptions of a DP based approach. As a result, an optimization approach is presented that reduces the computation time on real-time hardware by 26% without causing significant decreases in performance.

Organisationseinheit(en)

Institut für Mechatronische Systeme
Institut für Turbomaschinen und Fluid-Dynamik

Externe Organisation(en)

IAV GmbH

Typ

Beitrag in Buch/Sammelwerk

Band

15

Publikationsdatum

2022

Publikationsstatus

Angenommen/Im Druck

Peer-reviewed

Ja