RT Journal Article
T1 Analysis of Intelligent Transportation Systems Using Model-Driven Simulations
A1 Fernández Isabel, Alberto
A1 Fuentes Fernández, Rubén
AB : Intelligent Transportation Systems (ITSs) integrate information, sensor, control, and communication technologies to provide transport related services. Their users range from everyday commuters to policy makers and urban planners. Given the complexity of these systems and their environment, their study in real settings is frequently unfeasible. Simulations help to address this problem, but present their own issues: there can be unintended mistakes in the transition from models to code; their platforms frequently bias modeling; and it is difficult to compare works that use different models and tools. In order to overcome these problems, this paper proposes a framework for a model-driven development of these simulations. It is based on a specific modeling language that supports the integrated specification of the multiple facets of an ITS: people, their vehicles, and the external environment; and a network of sensors and actuators conveniently arranged and distributed that operates over them. The framework works with a model editor to generate specifications compliant with that language, and a code generator to produce code from them using platform specifications. There are also guidelines to help researchers in the application of this infrastructure. A case study on advanced management of traffic lights with cameras illustrates its use.
PB MDPI
SN 1424-8220
YR 2015
FD 2015-06-15
LK https://hdl.handle.net/20.500.14352/23888
UL https://hdl.handle.net/20.500.14352/23888
LA eng
NO Ministerio de Economía y Competitividad (MINECO)
NO Universidad Complutense de Madrid /Banco de Santander
DS Docta Complutense
RD 5 abr 2025