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A model-driven solution to support smart mobility planning
Fondazione Bruno Kessler, Trento, Italy.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-0416-1787
2018 (English)In: Proceedings - 21st ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2018, Association for Computing Machinery, Inc , 2018, p. 123-133Conference paper, Published paper (Refereed)
Abstract [en]

Multimodal journey planners have been introduced with the goal to provide travellers with itineraries involving two or more means of transportation to go from one location to another within a city. Most of them take into account user preferences, their habits and are able to notify travellers with real time traffic information, delays, schedules update, etc.. To make urban mobility more sustainable, the journey planners of the future must include: (1) techniques to generate journey alternatives that take into account not only user preferences and needs but also specific city challenges and local mobility operators resources; (2) agile development approaches to make the update of the models and information used by the journey planners a self-adaptive task; (3) techniques for the continuous journeys monitoring able to understand when a current journey is no longer valid and to propose alternatives. In this paper we present the experiences matured during the development of a complete solution for mobility planning based on model-driven engineering techniques. Mobility challenges, resources and remarks are modelled by corresponding languages, which in turn support the automated derivation of a smart journey planner. By means of the introduced automation, it has been possible to reduce the complexity of encoding journey planning policies and to make journey planners more flexible and responsive with respect to adaptation needs.

Place, publisher, year, edition, pages
Association for Computing Machinery, Inc , 2018. p. 123-133
Keywords [en]
Journey Planning, Model Transformation, Model-Driven Engineering, Smart Mobility, Engineering, Industrial engineering, Adaptation needs, Agile development, Complete solutions, Means of transportations, Real-time traffic information, Planning
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-41443DOI: 10.1145/3239372.3239374Scopus ID: 2-s2.0-85056838729ISBN: 9781450349499 (print)OAI: oai:DiVA.org:mdh-41443DiVA, id: diva2:1266727
Conference
21st ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2018, 14 October 2018 through 19 October 2018
Note

Conference code: 141115; Cited By :1; Export Date: 29 November 2018; Conference Paper

Available from: 2018-11-29 Created: 2018-11-29 Last updated: 2018-11-29Bibliographically approved

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Cicchetti, Antonio

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf