Analysis of Intelligent Transportation Systems Using Model-Driven Simulations

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Fernández Isabel, Alberto and Fuentes Fernández, Rubén (2015) Analysis of Intelligent Transportation Systems Using Model-Driven Simulations. Sensors, 15 (6). pp. 14116-14141. ISSN 1424-8220

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Official URL: https://doi.org/10.3390/s150614116




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.


Item Type:Article
Uncontrolled Keywords:intelligent transportation system; smart city; sensor; actuator; traffic lights; simulation; model-driven engineering; modeling language; agent-based modeling; code generation
Subjects:Sciences > Computer science > Artificial intelligence
Sciences > Computer science > Programming languages (Electronic computers)
ID Code:67810
Deposited On:15 Sep 2021 14:38
Last Modified:15 Sep 2021 14:41

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