Paper Abstract and Keywords |
Presentation |
2014-11-18 13:30
Evaluation of Traffic Engineering Based on Model Predictive Control Using Traffic Trace in Actual Network Tatsuya Otoshi, Yuichi Ohsita, Masayuki Murata (Osaka Univ.), Yousuke Takahashi, Keisuke Ishibashi, Kohei Shiomoto (NTT), Tomoaki Hashimoto (Osaka Univ.) IN2014-81 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Traffic engineering with traffic prediction is one approach to accommodate time-varying traffic stably. In this approach, the routes are calculated so as to avoid congestion based on the predicted traffic. However, predicted traffic includes prediction errors.We proposed a traffic engineering method with traffic prediction, which is robust to prediction errors. To achieve the robust control against the prediction errors, our method uses the idea of the Stochastic Model Predictive Control(SMPC), which is a method of process control with predicting the system dynamics. Using the probability distribution of prediction error, our method calculates the routes so that the occurrence probability of congestion is kept lower than a desired level. Through simulation with the actual traffic trace, we clarify that our method avoids the congestion even if the predicted traffic includes errors. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Stochastic Model Predictive Control / Traffic Egnieering / Traffic Prediction / Multi-path Routing / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 114, no. 307, IN2014-81, pp. 1-6, Nov. 2014. |
Paper # |
IN2014-81 |
Date of Issue |
2014-11-11 (IN) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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IN2014-81 |
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