Title: A semantic model of intelligent transportation systems
Language: English
Authors: Mirboland, Mahsa 
Smarsly, Kay 
Issue Date: Jun-2019
Source: International Workshop on Intelligent Computing in Engineering (EG-ICE 2019)
Journal or Series Name: CEUR workshop proceedings 
Abstract (english): 
Intelligent transportation systems, representing core components of smart cities, combine sensing, computing, and wireless communication technologies to provide efficient and convenient mobility. Road intelligent transportation systems (ITS) have been studied in recent decades through simulation platforms that integrate computational models for various use cases, such as traffic lights control and management. However, semantic descriptions, illustrating road ITS as a whole and creating a basis for designing simulation platforms, have not been addressed. In this paper, a semantic model of road intelligent transportation systems is proposed, which describes road ITS components and architecture, serving as a formal basis for road ITS simulation platforms. Building upon the semantic model, an extension of the Industry Foundation Classes schema, facilitating ITS simulation platforms based on building information modeling, is discussed. The paper concludes with a summary, a discussion, and an outlook on potential formalization efforts.
Conference: 26th International Workshop on Intelligent Computing in Engineering (EG-ICE). Leuven, Belgium, 06/30/2019. 
URI: http://hdl.handle.net/11420/9220
ISSN: 1613-0073
Document Type: Chapter/Article (Proceedings)
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