Author:
Knapen Luk,Holmgren Johan
Reference21 articles.
1. Andrienko, G., Andrienko, N., Hurter, C., Rinzivillo, S., Wrobel, S., 2011. From Movement Tracks through Events to Places: Extracting and Characterizing Significant Places from Mobility Data, in: IEEE Conference on Visual Analytics Science and Technology, IEEE, Providence, Rhode Island, USA.
2. A probabilistic map matching method for smartphone {GPS} data;Bierlaire;Transportation Research Part C: Emerging Technologies,2013
3. Cruz, M.O., Macedo, H., Guimar£es, A., 2015. Grouping Similar Trajectories for Carpooling Purposes, in: 2015 Brazilian Conference on Intelligent Systems (BRACIS), pp. 234–239. doi:10.1109/BRACIS.2015.36.
4. Deka, L., Quddus, M., 2015. Trip-Based Weighted Trajectory Matching Algorithm for Sparse GPS Data, in: TRB 94th Annual Meeting Compendium of Papers, TRB (Transportation Research Board), Washington, D.C.
5. A scalable and fast OPTICS for clustering trajectory big data;Deng;Cluster Computing,2014
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Optimal bicycle trip impediments resolution by data fusion;Journal of Ambient Intelligence and Humanized Computing;2021-01