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.

Towards an adaptive city journey planner with MDE / Bucchiarone, Antonio; Cicchetti, Antonio. - (2018), pp. 7-11. ((Intervento presentato al convegno MODELS '18: 21st ACM/IEEE International Conference on Model Driven Engineering Languages and Systems tenutosi a Copenhagen, Denmark nel October 14 - 19, 2018 [10.1145/3270112.3270127].

Towards an adaptive city journey planner with MDE

Bucchiarone, Antonio;
2018

Abstract

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.
MODELS '18 Proceedings of the 21st ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings
New York
IEEE
9781450359658
Bucchiarone, Antonio; Cicchetti, Antonio
Towards an adaptive city journey planner with MDE / Bucchiarone, Antonio; Cicchetti, Antonio. - (2018), pp. 7-11. ((Intervento presentato al convegno MODELS '18: 21st ACM/IEEE International Conference on Model Driven Engineering Languages and Systems tenutosi a Copenhagen, Denmark nel October 14 - 19, 2018 [10.1145/3270112.3270127].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/343391
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