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Springer Nature Switzerland
Reference24 articles.
1. Choong, M.Y., Chin, R.K.Y., Yeo, K.B., Teo, K.T.K.: Trajectory pattern mining via clustering based on similarity function for transportation surveillance. Int. J. Simul. Syst. Sci. Technol. 17(34), 1–19 (2016)
2. Erdelić, T., Carić, T., Erdelić, M., Tišljarić, L., Turković, A., Jelušić, N.: Estimating congestion zones and travel time indexes based on the floating car data. Comput. Environ. Urban Syst. 87, 101604 (2021). https://doi.org/10.1016/j.compenvurbsys.2021.101604. https://www.sciencedirect.com/science/article/pii/S0198971521000119
3. Ester, M., Kriegel, H.P., Sander, J., Xu, X., et al.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: Kdd, vol. 96, pp. 226–231 (1996)
4. Gao, H., et al.: A method for exploring and analyzing spatiotemporal patterns of traffic congestion in expressway networks based on origin-destination data. ISPRS Int. J. Geo-Inf. 10(5) (2021). https://doi.org/10.3390/ijgi10050288. https://www.mdpi.com/2220-9964/10/5/288
5. Han, J., Kamber, M., Tung, A.K.: Spatial clustering methods in data mining. In: Geographic Data Mining and Knowledge Discovery, pp. 188–217 (2001)
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