Abstract
In this paper, we propose a congested route discrimination scheme through the analysis of moving object trajectories in road networks. The proposed scheme divides the road into segments with different lanes and length. And then, it extracts congested road segments based on the moving speeds of moving objects and a saturation degree of each road segment. By doing so, we perform clustering method to find congested routes of the road network. Our experimental results show that our proposed scheme derives the directional congested routes through the clustering of the congested segments.
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Acknowledgments
This work was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2009-0089128) and the Leaders in INdustry-university Cooperation (LINC) Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2012-B-0013-010112).
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Li, H., Park, H., Park, Y., Bok, K., Yoo, J. (2012). A Congested Route Discrimination Scheme Through the Analysis of Moving Object Trajectories. In: Yeo, SS., Pan, Y., Lee, Y., Chang, H. (eds) Computer Science and its Applications. Lecture Notes in Electrical Engineering, vol 203. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5699-1_77
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DOI: https://doi.org/10.1007/978-94-007-5699-1_77
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