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Original papers

A functional road classification with data mining techniques

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Pages 419-430 | Received 15 May 2013, Accepted 28 Oct 2013, Published online: 16 Dec 2014

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Karl Rehrl, Simon Gröchenig & Stefan Kranzinger. (2020) Why did a vehicle stop? A methodology for detection and classification of stops in vehicle trajectories. International Journal of Geographical Information Science 34:10, pages 1953-1979.
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Martin Rodriguez-Vega, Carlos Canudas-de-Wit & Hassen Fourati. (2022) A Route-based Method for Turning Ratio Estimation: Application to the Grenoble Downtown Traffic Flow and Density Reconstruction. A Route-based Method for Turning Ratio Estimation: Application to the Grenoble Downtown Traffic Flow and Density Reconstruction.
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Tao Wu, Huiqing Shen, Jianxin Qin & Longgang Xiang. (2021) Extracting Stops from Spatio-Temporal Trajectories within Dynamic Contextual Features. Sustainability 13:2, pages 690.
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Gaetano Bosurgi, Orazio Pellegrino & Giuseppe Sollazzo. (2019) Road Functional Classification Using Pattern Recognition Techniques. The Baltic Journal of Road and Bridge Engineering 14:3, pages 360-383.
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Huan Luo, Miaohua Huang & Zhou Zhou. (2019) A dual-tree complex wavelet enhanced convolutional LSTM neural network for structural health monitoring of automotive suspension. Measurement 137, pages 14-27.
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Huan Luo, Miaohua Huang & Zhou Zhou. (2018) Integration of Multi-Gaussian fitting and LSTM neural networks for health monitoring of an automotive suspension component. Journal of Sound and Vibration 428, pages 87-103.
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Dong-wei Wang, Hui Li, Kai Zhang & Ya-dan Yan. (2018) A Review of Road Functional Classification Problems. A Review of Road Functional Classification Problems.
Johan R Meijer, Mark A J Huijbregts, Kees C G J Schotten & Aafke M Schipper. (2018) Global patterns of current and future road infrastructure. Environmental Research Letters 13:6, pages 064006.
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