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A Novel WebGIS-Based Situational Awareness Platform for Trustworthy Big Data Integration and Analytics in Mobility Context

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On the Move to Meaningful Internet Systems. OTM 2017 Conferences (OTM 2017)

Abstract

The availability of big amounts of dynamic data from several sources in mobility context and their real time integration can deliver a picture for emergency management in urban and extra-urban areas. A WebGIS portal is able to support the perception of all elements in current situation. However, in general, during the observation decision maker’s attention capacity is not sufficient to address concerns due to information overload. A situational picture is necessary to go beyond the simple perception of the elements in the environment, supporting the overall comprehension of the current situation and providing predictions and decision support. In this paper we present MAGNIFIER, a WebGIS-based intelligent system for emergency management, to entirely support the real-time situational awareness. Starting from the current situation and by using the practical reasoning model by Bratman, MAGNIFIER is able to suggest the appropriate course of actions to be executed to meet decision maker’s goals.

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Notes

  1. 1.

    https://www.ushahidi.com.

  2. 2.

    http://eden.sahanafoundation.org/.

  3. 3.

    http://www.esri.com/software/arcgis.

  4. 4.

    The TOREADOR environment is part of a bigger platform under development through the TOREADOR initiative (http://www.toreador-project.eu/).

  5. 5.

    FIWARE is a PPP European initiative (supported by 25 ICT players; Engineering Ingegneria Informatica S.p.A. is one of them) aiming to build a software platform dedicated to the creation of Future Internet applications, by leveraging on advanced technologies such as Cloud Computing, Internet of Things, Engineering Services, Data & Content Management, Advanced User Interfaces and Future Networks security (https://www.fiware.org/).

  6. 6.

    https://cloud.spring.io/spring-cloud-dataflow/.

  7. 7.

    Traffic Message Channel is a technology for delivering traffic and travel information to motor vehicle drivers. It is digitally coded using the ALERT C protocol into RDS Type 8A groups carried via conventional FM radio broadcasts. It can also be transmitted on Digital Audio Broadcasting or satellite radio. TMC allows silent delivery of dynamic information suitable for reproduction or display in the user’s language without interrupting audio broadcast services. Both public and commercial services are operational in many countries. When data is integrated directly into a navigation system, traffic information can be used in the system’s route calculation.

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Acknowledgments

This work is partially supported by the EU’s Horizon 2020 Research and Innovation Programme through the TOREADOR project.

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Correspondence to Susanna Bonura .

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Bonura, S., Cammarata, G., Finazzo, R., Francaviglia, G., Morreale, V. (2017). A Novel WebGIS-Based Situational Awareness Platform for Trustworthy Big Data Integration and Analytics in Mobility Context. In: Panetto, H., et al. On the Move to Meaningful Internet Systems. OTM 2017 Conferences. OTM 2017. Lecture Notes in Computer Science(), vol 10574. Springer, Cham. https://doi.org/10.1007/978-3-319-69459-7_6

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  • DOI: https://doi.org/10.1007/978-3-319-69459-7_6

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