Abstract
The emerging technology in vehicle telematics encourage stakeholders to consider services that can be beneficial to both clients and the telematics service providers. This paper proposes a novel framework for insurance telematics in Korea using a mobile aggregation agent (AA) and data mining agent (DA). To our knowledge, this model is recent of its kind in this country and the baseline information from driver’s characteristics serves as reference for the flexible insurance policies. We are able to present a use-case scenario and examples to demonstrate our model. With this flexible insurance framework, customers can manage their own insurance premiums and lower the cost of motoring. This framework is perceived to have promising applications ranging from academic to industrial uses.
This research was supported by grant R01-2006-000-10147-0 from the Basic Research Program of the Korea Science and Engineering Foundation.
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Gerardo, B.D., Lee, J., Lee, M. (2007). Framework for Data Aggregation and Insurance Service in Vehicle Telematics Using Multi-agents. In: Nguyen, N.T., Grzech, A., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2007. Lecture Notes in Computer Science(), vol 4496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72830-6_85
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DOI: https://doi.org/10.1007/978-3-540-72830-6_85
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