A toolchain definition to solve a vehicle routing problem for a time-efficient testing on a proving ground
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the Austrian Robotics Workshop 2023
Original Kurzfassung:
Automotive technology needs thorough testing before a market launch is possible due to government regulations,
which hinders a short time-to-market. In addition, testing has
to be done at manually operated proving grounds (PG), which
even further increases time-to-market. Therefore, a toolchain is
proposed to convert OpenDrive and OpenScenario into applicable data for a Vehicle Routing Problem (VRP) for the vehicle
under test (VUT). Thereby, three steps are required. In a first
step, all persistent data is collected, like PG settings and test
workflows. The data collected is used to build an undirected
graph. The second step is to ensure that the graph complies with
the customer?s request. In a third step, a VRP is formulated and
a strategy for solving with single-solution based Metaheuristic
methods is introduced. The toolchain does provide suitable data
formats for a VRP formulation, which enables to plan optimal
routes for the VUT. This is the beginning of closing a gap
in the test automation and test concatenation for automotive
technology.
Sprache der Kurzfassung:
Englisch
Englische Kurzfassung:
Automotive technology needs thorough testing before a market launch is possible due to government regulations,
which hinders a short time-to-market. In addition, testing has
to be done at manually operated proving grounds (PG), which
even further increases time-to-market. Therefore, a toolchain is
proposed to convert OpenDrive and OpenScenario into applicable data for a Vehicle Routing Problem (VRP) for the vehicle
under test (VUT). Thereby, three steps are required. In a first
step, all persistent data is collected, like PG settings and test
workflows. The data collected is used to build an undirected
graph. The second step is to ensure that the graph complies with
the customer?s request. In a third step, a VRP is formulated and
a strategy for solving with single-solution based Metaheuristic
methods is introduced. The toolchain does provide suitable data
formats for a VRP formulation, which enables to plan optimal
routes for the VUT. This is the beginning of closing a gap
in the test automation and test concatenation for automotive
technology.
Forschungs-