Interpolation System of Traffic Condition by Estimation/Learning Agents

Authors:
Tetsuo Morita;Junji Yano;Kouji Kagawa
Affiliations:
Information & Communication Laboratories, Sumitomo Electric Industries, Ltd., Osaka, Japan 554-0024;Information & Communication Laboratories, Sumitomo Electric Industries, Ltd., Osaka, Japan 554-0024;Information & Communication Laboratories, Sumitomo Electric Industries, Ltd., Osaka, Japan 554-0024
Venue:
PRIMA '09 Proceedings of the 12th International Conference on Principles of Practice in Multi-Agent Systems
Year:
2009

Citing 1
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Abstract

Interpolation system of traffic condition is proposed, which consists of estimation and learning agents. To evaluate the interpolation accuracy, coefficient of determination (CD) and mean square error (MSE) are used. The interpolation accuracy can be improved by the alternate use of estimation and learning agents, and the iterative uses of the same probe data. The standard deviation of the normalized velocity can be improved to 0.1353, and that of the velocity is 6.77 km/h in the mid velocity region. Furthermore, the CD and MSE could be improved by the additional repetition of estimation and learning.