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논문 기본 정보

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학술저널
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한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제13권 제4호
발행연도
2017.1
수록면
951 - 969 (19page)

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In this paper, we newly propose a traffic information service model that collects traffic information sensed byan individual vehicle in real time by using a smart device, and which enables drivers to share trafficinformation on all roads in real time using an application installed on a smart device. In particular, when thedriver requests traffic information for a specific area, the proposed driver-personalized service model provideshim/her with traffic information on the driving directions in advance by predicting the driving directions ofthe vehicle based on the learning of the driving records of each driver. To do this, we propose a trafficinformation management model to process and manage in real time a large amount of online-generatedtraffic information and traffic information requests generated by each vehicle. We also propose a road nodebasedindexing technique to efficiently store and manage location-based traffic information provided by eachvehicle. Finally, we propose a driving learning and prediction model based on the hidden Markov model topredict the driving directions of each driver based on the driver's driving records. We analyze the trafficinformation processing performance of the proposed model and the accuracy of the driving prediction modelusing traffic information collected from actual driving vehicles for the entire area of Seoul, as well as drivingrecords and experimental data.

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