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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Analysis of Intelligent Transportation Systems Using Model-Driven Simulations
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Analysis of Intelligent Transportation Systems Using Model-Driven Simulations

机译：使用模型驱动的仿真分析智能交通系统

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摘要

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.
机译：智能交通系统（ITS）集成了信息，传感器，控制和通信技术，以提供与交通相关的服务。他们的用户范围从日常通勤到政策制定者和城市规划者。考虑到这些系统及其环境的复杂性，在实际环境中进行研究通常是不可行的。模拟有助于解决此问题，但也存在其自身的问题：从模型到代码的转换可能会出现意想不到的错误；他们的平台经常偏向建模；而且很难比较使用不同模型和工具的作品。为了克服这些问题，本文为这些仿真的模型驱动开发提出了一个框架。它基于一种特定的建模语言，该语言支持ITS的多个方面的集成规范：人员，车辆和外部环境；传感器和执行器的网络方便地布置和分布，并通过它们进行操作。该框架与模型编辑器一起使用以生成与该语言兼容的规范，并与代码生成器一起使用平台规范从中生成代码。还有一些指南可帮助研究人员应用此基础架构。通过摄像机对交通信号灯进行高级管理的案例研究说明了其用途。

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