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
Veröffentlicht
Peer-reviewed
Ja