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A value-based scheduling approach for real-time autonomous vehicle control

Published online by Cambridge University Press:  01 May 2000

D. Prasad  and
A. Burns
D. Prasad
Affiliation:
Real-Time Systems Research Group, Department of Computer Science, University of York, York YO10 5DD (UK)
A. Burns
Affiliation:
Real-Time Systems Research Group, Department of Computer Science, University of York, York YO10 5DD (UK)
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Abstract

In future real-time systems such as those required for intelligent autonomous vehicle control, we need flexibility in choosing the set of services to support under varying environmental conditions and system states. It is not feasible to make an optimal choice of services at run-time, so we propose a method of ranking the services pre-run-time, based on the ‘utility' of each service. This paper focuses on the problem of calculating a ‘value' for the utility of each service alternative. We show how to derive values systematically and rationally, using Measurement Theory and Decision Analysis. The approach relies on engineering judgement and data input by a domain expert. In the context of autonomous vehicles, we believe that such knowledge would be available, making ‘value-based scheduling' a feasible approach.

Keywords

AutonomousVehicle controlReal-time systemsService utility
Type
Research Article
Information
Robotica , Volume 18 , Issue 3 , May 2000 , pp. 273 - 279
Copyright
© 2000 Cambridge University Press

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