| Title | Smart City Umbrella Ontology :Context-Driven Framework For Traffic Planning |
|---|---|
| ID_Doc | 36541 |
| Authors | Mor, A; Kumar, M; Chaudhury, S |
| Title | Smart City Umbrella Ontology :Context-Driven Framework For Traffic Planning |
| Year | 2021 |
| Published | |
| Abstract | Presently, huge public and private data sets are available from different government sources regarding transportation services in modern cities. The heterogeneous data-sets address day- to- day operations in transportation research,and these challenges can be effectively done with assistance of ontologies. Ontology is used for accessing and exploiting data from sensors to surveys in a semantically inter-operable way is demanding,in recent years. In this paper, an ontological framework is designed for smart cities by integration of entities such as surface transport network,road geometry, topology,and traffic monitoring sensors.The Smart City Umbrella Ontology (SCUO) is designed using standardized traffic guidelines in the context of Indian surface transportation.The paper focuses on ontology design by argumentation of road network nomenclature and relationship among entities.A mechanism for linking ontologies is implemented through Resource Description Framework(RDF) with a set of relations.The proposed framework can be used to provide services to commuters via specific applications in intelligent system of transportation by administration,and city stakeholders for design,policy-making purposes of traffic planning. |
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