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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. Place and Device related elements.
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sensors-15-14116-f004: Partial ITS metamodel. Place and Device related elements.

Mentions: An ITS needs to gather information from its surroundings and act on them. Figure 4 shows the high-level structure of this context. It is abstracted as a set of places that contain multiple spots. These spots are the components that can be actually monitored and modified, and where devices can be placed. Following the DVE model adopted by the TML (see Section 2.2), the participants in the traffic phenomena (i.e., persons, their vehicles, and the things in the external environment) are places. Their components according to the TML become spots.


Analysis of Intelligent Transportation Systems Using Model-Driven Simulations.

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

Partial ITS metamodel. Place and Device related elements.
© Copyright Policy
Related In: Results  -  Collection

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

sensors-15-14116-f004: Partial ITS metamodel. Place and Device related elements.
Mentions: An ITS needs to gather information from its surroundings and act on them. Figure 4 shows the high-level structure of this context. It is abstracted as a set of places that contain multiple spots. These spots are the components that can be actually monitored and modified, and where devices can be placed. Following the DVE model adopted by the TML (see Section 2.2), the participants in the traffic phenomena (i.e., persons, their vehicles, and the things in the external environment) are places. Their components according to the TML become spots.

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.