Scenario Concatenation for Vehicle Testing by Solving a Vehicle Routing Problem with Skill and Temporal Synchronization Constraints

Robert Fina, Johannes Wenninger, Daniel Reischl, Hubert Gattringer, Andreas Müller, Thomas Schlömicher, Heiko Scharke

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

In the automotive industry new technology has to be tested thoroughly before a market launch. In addition, many regulations hinder a short time-to-market, as well as the manually operated proving grounds (PG). Therefore, a toolchain is introduced to be able to automate and to increase the efficiency of test scheduling. Three steps are proposed. In the first step, common standards, which represent the road network and the test workflow, are converted into a graph representation. The second step combines a customer request and the collected data to a suitable base for a Vehicle Routing Problem with temporal synchronisation and skill constraints (VRPSS) for the test participants. In the third step, the VRPSS is modelled and solved by Metaheuristic methods. It is shown, that the proposed toolchain can automate the scenario concatenation for PGs.
Original languageEnglish
Title of host publicationAdvances in Service and Industrial Robotics RAAD 2023
EditorsTadej Petrič, Aleš Ude, Leon Žlajpah
Place of PublicationSwitzerland
PublisherSpringer Nature Switzerland AG
Pages161-169
Number of pages9
Volume135
ISBN (Print)978-3-031-32605-9
DOIs
Publication statusPublished - 2023

Publication series

NameMechanisms and Machine Science
Volume135 MMS
ISSN (Print)2211-0984
ISSN (Electronic)2211-0992

Fields of science

  • 203015 Mechatronics
  • 203022 Technical mechanics
  • 202 Electrical Engineering, Electronics, Information Engineering
  • 202035 Robotics
  • 203013 Mechanical engineering

JKU Focus areas

  • Digital Transformation

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