Framework for Data Aggregation and Insurance Service in Vehicle Telematics Using Multi-agents

  • Authors:
  • Bobby D. Gerardo;Jaewan Lee;Malrey Lee

  • Affiliations:
  • School of Electronic and Information Engineering, Kunsan National University 68 Miryong-dong, Kunsan, Chonbuk 573-701, Korea;School of Electronic and Information Engineering, Kunsan National University 68 Miryong-dong, Kunsan, Chonbuk 573-701, Korea;School of Electronic and Information Engineering, Chonbuk National University 664-14 Deokjin-dong, Jeonju, Chonbuk 561-756, Korea

  • Venue:
  • KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
  • Year:
  • 2007

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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.