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- W25572007 abstract "Road traffic accidents are a social and public challenge. Various spatial concentration detection methods have been proposed to discover the concentration patterns of traffic accidents. However, current methods treat each traffic accident location as a point without consideration of the severity level, and the final traffic accident risk map for the whole study area ignores the users’ requirements. In this paper, we propose an ontology-based traffic accident risk mapping framework. In the framework, the ontology represents the domain knowledge related to the traffic accidents and supports the data retrieval based on users’ requirements. A new spatial clustering method that takes into account the numbers and severity levels of accidents is proposed for risk mapping. To demonstrate the framework, a system prototype has been implemented. A case study in the city of Calgary is also discussed." @default.
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- W25572007 date "2011-01-01" @default.
- W25572007 modified "2023-09-25" @default.
- W25572007 title "An Ontology-Based Traffic Accident Risk Mapping Framework" @default.
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- W25572007 doi "https://doi.org/10.1007/978-3-642-22922-0_3" @default.
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