Cited By
View all- Zhang LZhu XMa J(2024)IoT Route Planning Based on Spatiotemporal Interactive Attention Neural NetworkIEEE Internet of Things Journal10.1109/JIOT.2023.331898411:5(7697-7709)Online publication date: 1-Mar-2024
Enabling IoT-enhanced Transportation Systems using the NGSI Protocol
Authors: 
Georgios Bouloukakis, Chrysostomos Zeginis, Nikolaos Papadakis, Panagiotis Zervakis, Dimitris Plexousakis, and 
Kostas MagoutisAuthors Info & Claims
Georgios Bouloukakis, Chrysostomos Zeginis, Nikolaos Papadakis, Panagiotis Zervakis, Dimitris Plexousakis, and Kostas MagoutisAuthors Info & ClaimsNovember 2022
Pages 33 - 40
Abstract
This paper presents a model-based approach to facilitate the development of IoT applications in Transportation Systems. Existing public transportation services are provided by relying on standard data models such as GTFS. However, such models are limited in representing IoT-based infrastructures and the locations that IoT devices cover (e.g., bus seating areas). We introduce a context-aware publish/subscribe IoT platform that supports synchronous data requests, asynchronous notifications and analytics applications. Data requests are created using the system’s context, which in our case is based on a transport bus system. Both static and dynamic context properties are modeled by extending the NGSI smart data models. We then introduce a GTFS-to-NGSI mapping tool to enable the enhancement of existing GTFS-based transportation systems with IoT capabilities. We develop a prototype of our platform and we demonstrate the applicability of our approach using open data from the Roma Mobilità bus transportation system.
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Index Terms
- Enabling IoT-enhanced Transportation Systems using the NGSI Protocol
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November 2022
259 pages
ISBN:9781450396653
DOI:10.1145/3567445
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Publication History
Published: 05 January 2023
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- Research-article
- Research
- Refereed limited
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- Greek Research Technology Development and Innovation Action - EðAðEK 2014 - 2020
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IoT 2022
IoT 2022: The 12th International Conference on the Internet of Things
November 7 - 10, 2022
Delft, Netherlands
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Overall Acceptance Rate 28 of 84 submissions, 33%
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View all- Zhang LZhu XMa J(2024)IoT Route Planning Based on Spatiotemporal Interactive Attention Neural NetworkIEEE Internet of Things Journal10.1109/JIOT.2023.331898411:5(7697-7709)Online publication date: 1-Mar-2024
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