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Analysis of Intelligent Transportation Systems Using Model-Driven Simulations.

Fernández-Isabel A, Fuentes-Fernández R - Sensors (Basel) (2015)

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Departamento de Ingeniería del Software e Inteligencia Artificial, Facultad de Informática, Universidad Complutense de Madrid, 28040 Madrid, Spain. afernandezisabel@estumail.ucm.es.

ABSTRACT
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.

No MeSH data available.


Partial ITS metamodel. Environment related elements.
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sensors-15-14116-f006: Partial ITS metamodel. Environment related elements.

Mentions: Regarding the environment, it represents the elements participating in traffic that are not people, their vehicles, or the ITS components (e.g., devices and their managers). Examples of its elements are the roads, the traffic signals, the weather conditions, or obstacles. It is an extension of the TML environment (see Figure 6). It is modeled as an aggregation of things, which are located over a map.


Analysis of Intelligent Transportation Systems Using Model-Driven Simulations.

Fernández-Isabel A, Fuentes-Fernández R - Sensors (Basel) (2015)

Partial ITS metamodel. Environment related elements.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4507665&req=5

sensors-15-14116-f006: Partial ITS metamodel. Environment related elements.
Mentions: Regarding the environment, it represents the elements participating in traffic that are not people, their vehicles, or the ITS components (e.g., devices and their managers). Examples of its elements are the roads, the traffic signals, the weather conditions, or obstacles. It is an extension of the TML environment (see Figure 6). It is modeled as an aggregation of things, which are located over a map.

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Departamento de Ingeniería del Software e Inteligencia Artificial, Facultad de Informática, Universidad Complutense de Madrid, 28040 Madrid, Spain. afernandezisabel@estumail.ucm.es.

ABSTRACT
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.

No MeSH data available.