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Towards an adaptive city journey planner with MDE
Fondazione Bruno Kessler, Trento, Italy.
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0003-0416-1787
2018 (engelsk)Inngår i: 21st ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, MODELS-Companion 2018, Association for Computing Machinery, Inc , 2018, s. 7-11Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Although there are many city journey planners already available in the market and involving various transportation services, there is none yet that allows city mobility operators and local government municipalities to be an active part of the city's mobility. In this demonstrator, we present our first attempt towards multi-view based modelling of adaptive and multimodal city journey planners. In particular, by exploiting Model-Driven Engineering (MDE) techniques, the different stakeholders involved in the city mobility are able to provide their own updated information or promote their own challenges at higher levels of abstraction. Such information is then automatically translated into code-based artefacts that implement/ensure the desired journey planning behaviour, notably to filter travel routes and to make the city mobility more sustainable. The journey planner prototype, implementing the proposed solution, is demonstrated in the context of Trento city mobility. A supporting video illustrating the main features and a demonstration of our solution can be found at: https://youtu.be/KM21WD2dQGs, while the related artefacts and the details on how to create your own prototype are available at the demo GitHub repository, reachable at https://github.com/modelsconf2018/artifact-evaluation/tree/master/bucchiarone.

sted, utgiver, år, opplag, sider
Association for Computing Machinery, Inc , 2018. s. 7-11
Emneord [en]
Journey planning, Model transformation, Model-driven engineering, Smart mobility, Planning, Levels of abstraction, Local government, Transportation services, Travel routes, Updated informations, HTTP
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Identifikatorer
URN: urn:nbn:se:mdh:diva-41442DOI: 10.1145/3270112.3270127Scopus ID: 2-s2.0-85056824182ISBN: 9781450359658 (tryckt)OAI: oai:DiVA.org:mdh-41442DiVA, id: diva2:1266734
Konferanse
21st ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2018, 14 October 2018 through 19 October 2018
Tilgjengelig fra: 2018-11-29 Laget: 2018-11-29 Sist oppdatert: 2018-11-29bibliografisk kontrollert

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