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Article

TRAVEL TIME PREDICTION BASED ON PATTERN MATCHING METHOD

state components and time as its uncertain state component. Then, the space-time two-dimensional linear interpolation method is used to calculate the mean speed and subsequently the travel time. Finally, similar patterns are obtained using K Nearest Neighbor approach and predicted travel time is calculated by the Weighted Average method. The case study shows that the pattern matching method for travel time prediction based on microwave detection data produces sufficient accuracy, which solves the

Jiandong Zhao, Feifei Xu, Wenhui Liu, Jigen Bai, Xiaoling Luo

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 658–676

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