Paper Info
Title
Framework for Data Aggregation and Insurance Service in Vehicle Telematics Using Multi-agents
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.
Year
DOI
Venue
2007
10.1007/978-3-540-72830-6_85
KES-AMSTA
Keywords
Field
DocType
flexible insurance policy,flexible insurance framework,own insurance premium,baseline information,insurance service,data mining agent,insurance telematics,mobile aggregation agent,vehicle telematics,telematics service provider,novel framework,data aggregation,service provider,data mining,emerging technology,use case
Insurance policy,Computer science,Computer security,Knowledge management,Service provider,Emerging technologies,Artificial intelligence,Traffic prediction,Telematics,Data aggregator,Machine learning,Mobile commerce
Conference
Volume
ISSN
Citations 
4496
0302-9743
0
PageRank 
References 
Authors
0.34
7
3
Name
Order
Citations
PageRank
Bobby D. Gerardo12713.79
Jaewan Lee26214.66
Malrey Lee319741.30