作者
Jinjun Tang, Guohui Zhang, Yinhai Wang, Hua Wang, Fang Liu
发表日期
2015/2/1
期刊
Transportation Research Part C: Emerging Technologies
卷号
51
页码范围
29-40
出版商
Pergamon
简介
Although various innovative traffic sensing technologies have been widely employed, incomplete sensor data is one of the most major problems to significantly degrade traffic data quality and integrity. In this study, a hybrid approach integrating the Fuzzy C-Means (FCM)-based imputation method with the Genetic Algorithm (GA) is develop for missing traffic volume data estimation based on inductance loop detector outputs. By utilizing the weekly similarity among data, the conventional vector-based data structure is firstly transformed into the matrix-based data pattern. Then, the GA is applied to optimize the membership functions and centroids in the FCM model. The experimental tests are conducted to verify the effectiveness of the proposed approach. The traffic volume data collected at different temporal scales were used as the testing dataset, and three different indicators, including root mean square error …
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J Tang, G Zhang, Y Wang, H Wang, F Liu - Transportation Research Part C: Emerging …, 2015