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BibTeX
Ontology-Based Multi-agent Smart Bike Sharing System (SBSS)
2018 IEEE International Conference on Smart Computing (SMARTCOMP), 2018, p.417-422
Patel, Ashish Singh
Ojha, Muneendra
Rani, Monika
Khare, Abhinav
Vyas, O. P.
Vyas, Ranjana
2018
Details
Autor(en) / Beteiligte
Patel, Ashish Singh
Ojha, Muneendra
Rani, Monika
Khare, Abhinav
Vyas, O. P.
Vyas, Ranjana
Titel
Ontology-Based Multi-agent Smart Bike Sharing System (SBSS)
Ist Teil von
2018 IEEE International Conference on Smart Computing (SMARTCOMP), 2018, p.417-422
Ort / Verlag
IEEE
Erscheinungsjahr
2018
Link zum Volltext
IEEE_Xplore
Quelle
IEEE Electronic Library (IEL)
Beschreibungen/Notizen
A smart city can be characterized by a six-dimensional system involving people, living, governance, mobility, economy, and environment, which often function together. The Intelligent Transportation System (ITS) is a part of the mobility aspect of a smart city which necessitates the demands for seamless interoperability with information processing needs in focus. The proposed work aims to explore ontology-based approaches for smart city mobility application. The approach integrates domainspecific data from heterogeneous sources and devices for further intelligent analysis and processing in machine-readable format. In this work, we have proposed an approach for an ontology-based Smart Bike Sharing System (SBSS) architecture that addresses the challenge of unauthorized and illegal parking. A sensor agent system is proposed to be used to collect data from road transport system through embedded sensors. These embedded sensors mounted on the bikes transfer data to the nearby station during or at the end of the trip. The heterogeneous data collected from different sensors at the respective stations are transferred to the central server and integrated using the ontology. Our proposed Ontology-based Smart Bike Sharing System (SBSS) incorporates sensor data with the video data for further exploration. Applicability of proposed approach is demonstrated by the conceptualization of the use case of unauthorized and illegal parking event using Protégé tool. The proposed ontology-based concepts and rules help to analyze and interpret the current scenario and predict future possibilities for improving efficiency and safety in transportation systems.
Sprache
Englisch
Identifikatoren
DOI: 10.1109/SMARTCOMP.2018.00039
Titel-ID: cdi_ieee_primary_8421396
Format
–
Schlagworte
Data Integration
,
Feature extraction
,
Information technology
,
ITS
,
Ontologies
,
Ontology
,
Roads
,
Semantics
,
Smart Bike Sharing
,
Smart cities
,
Video Data
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