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Safe Design of Flow Management Systems Using Rebeca

Fulltext:


Authors:

Giorgio Forcina, Ali Sedaghatbaf, Stephan Baumgart, Ali Jafari , Ehsan Khamespanah , Pavle Mrvaljevic , Marjan Sirjani

Publication Type:

Journal article

Venue:

Journal of Information Processing

Publisher:

Information Processing Society of Japan


Abstract

Track-based flow management systems like transportation systems and traffic control systems play a crucial role in our daily life. Safety and performance are among the most important quality requirements for these systems.This paper presents AdaptiveFlow as a framework for modeling, safety checking and performance analysis of track-based flow management systems. AdaptiveFlow is based on the Hewitt actors computation model. In particular, tracks are modeled as actors and moving objects as messages. Timed Rebeca is used for modeling, and the model checking tool Afra is used for safety verification and performance evaluation in AdaptiveFlow. To react to dynamic changes in the environment, AdaptiveFlow provides support for three adaptive policies, which can be examined and compared indifferent scenarios. To demonstrate the applicability of AdaptiveFlow, we consider the Electric Site Research Project of Volvo Construction Equipment as a case study. In this project, a fleet of autonomous haulers is utilized to transport materials in a quarry site. Furthermore, to show the reusability of the framework for other flow management scenarios, an experiment on an urban garbage collection system is presented.

Bibtex

@article{Forcina6116,
author = {Giorgio Forcina and Ali Sedaghatbaf and Stephan Baumgart and Ali Jafari and Ehsan Khamespanah and Pavle Mrvaljevic and Marjan Sirjani},
title = {Safe Design of Flow Management Systems Using Rebeca},
pages = {588--598},
month = {September},
year = {2020},
journal = {Journal of Information Processing },
publisher = {Information Processing Society of Japan},
url = {http://www.es.mdh.se/publications/6116-}
}