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Identifying travel direction of cellular phone using Naive Bayes
There are several advantages of using cellular network information for traffic collection and personal navigation including its widely available infrastrucutre and high penetrate rate, especially in metropolitan area. For such applications, travel direction is a significant parameter. In this study, we proposed a novel method to identify the travel direction of cellular phones based on the handoff information from cellular network. The focus of this research is to identify the travel direction of cellular phone based on 2 attributes, i.e., 1) number of Intersection Member (IM) and 2) Accumulated number of Intersected Member (AIM) using Naive Bayes model. The experimental results show promising performance with accuracy up to 100%. This suggests a step forward to the use of cellular-based information as road traffic information.
Identifying travel direction of cellular phone using Naive Bayes
There are several advantages of using cellular network information for traffic collection and personal navigation including its widely available infrastrucutre and high penetrate rate, especially in metropolitan area. For such applications, travel direction is a significant parameter. In this study, we proposed a novel method to identify the travel direction of cellular phones based on the handoff information from cellular network. The focus of this research is to identify the travel direction of cellular phone based on 2 attributes, i.e., 1) number of Intersection Member (IM) and 2) Accumulated number of Intersected Member (AIM) using Naive Bayes model. The experimental results show promising performance with accuracy up to 100%. This suggests a step forward to the use of cellular-based information as road traffic information.
Identifying travel direction of cellular phone using Naive Bayes
Puntumapon, K. (author) / Pattara-atikom, W. (author)
2008-10-01
2055708 byte
Conference paper
Electronic Resource
English
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