Abstract This chapter discusses a systems design approach inspired from the autonomic nervous system for intelligent transportation system (ITS) applications. This is done not with reference to the employed computing system but with reference to the requirements of traffic engineering applications. It is argued that the design and development of autonomic traffic management systems must identify the control loop that needs to be endowed with autonomic properties and subsequently use this framework for defining a desired set of self-∗ properties. A macroscopic network modelling application is considered for showing how autonomic system design can be used for defining and obtaining self-∗ properties, with particular emphasis given on self-optimisation. The interpretation of policies followed by network operators regarding route guidance is also discussed from the perspective of autonomic ITS.
Autonomic Systems Design for ITS Applications: Modelling and Route Guidance
01.01.2016
15 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Route guidance , Autonomic traffic systems , Macroscopic traffic flow model validatin Software Engineering/Programming and Operating Systems , Simulation and Modeling , Computer Science , Information Systems Applications (incl. Internet) , Artificial Intelligence (incl. Robotics) , Database Management
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