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CoPoi: A Collaborative Framework to Optimize the Approach Towards Points of Interest

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Advances in Intelligent Networking and Collaborative Systems (INCoS 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 527))

Abstract

One of the main problems when it comes to letting people meet together at a certain time is dealing with delays, due to traffic congestion or a lack of coordination. In this work, we rely on smart-cities-context-awareness power to design a system that optimizes the approach towards points of interest according to suggestions, in order to make participants aware of the current overall positions of other participants. Specifically, starting from the estimated times of arrival of participants, this system aims at reducing the amount of time that a participant has to wait for other people, when he gets to the point of interest. To do so, custom suggestions are provided, to let people know if they have to adjust their time of arrival, by improving the context awareness. The proposal builds a collection of suggestions to provide coordination among people. The solution is developed by using Neo4j, a native graph-based DBMS.

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Authors and Affiliations

  1. University of Naples, Federico II, Naples, Italy

    Walter Balzano, Davide Pio Faicchia & Silvia Stranieri

Authors
  1. Walter Balzano
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  2. Davide Pio Faicchia
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  3. Silvia Stranieri
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Corresponding author

Correspondence to Silvia Stranieri .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. School of Science and Technology, Kwansei Gakuin University, Sanda, Japan

    Hiroyoshi Miwa

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Balzano, W., Faicchia, D.P., Stranieri, S. (2022). CoPoi: A Collaborative Framework to Optimize the Approach Towards Points of Interest. In: Barolli, L., Miwa, H. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2022. Lecture Notes in Networks and Systems, vol 527. Springer, Cham. https://doi.org/10.1007/978-3-031-14627-5_9

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