TY - GEN
T1 - Enabling IoT-enhanced Transportation Systems using the NGSI Protocol
AU - Bouloukakis, Georgios
AU - Zeginis, Chrysostomos
AU - Papadakis, Nikolaos
AU - Zervakis, Panagiotis
AU - Plexousakis, Dimitris
AU - Magoutis, Kostas
N1 - Publisher Copyright:
© 2022 Copyright held by the owner/author(s).
PY - 2023/1/5
Y1 - 2023/1/5
N2 - 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.
AB - 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.
KW - Data modeling
KW - IoT
KW - Transportation Systems
U2 - 10.1145/3567445.3567460
DO - 10.1145/3567445.3567460
M3 - Conference contribution
AN - SCOPUS:85146532726
T3 - ACM International Conference Proceeding Series
SP - 33
EP - 40
BT - IoT 2022 - Proceedings of the 12th International Conference on the Internet of Things 2022
PB - Association for Computing Machinery
T2 - 12th International Conference on the Internet of Things, IoT 2022
Y2 - 7 November 2022 through 10 November 2022
ER -
