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

authored by

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.

Organisation(s)

Institute of Mechatronic Systems
Institute of Turbomachinery and Fluid Dynamics

External Organisation(s)

IAV GmbH

Type

Contribution to book/anthology

Volume

15

Publication date

2022

Publication status

Published

Peer reviewed

Yes