A Nested Clustering Technique for Freeway Operating Condition Classification
- 6 June 2007
- journal article
- Published by Wiley in Computer-Aided Civil and Infrastructure Engineering
- Vol. 22 (6), 430-437
- https://doi.org/10.1111/j.1467-8667.2007.00498.x
Abstract
No abstract availableKeywords
This publication has 10 references indexed in Scilit:
- Defining Traffic Flow Phases Using Intelligent Transportation Systems-Generated DataJournal of Intelligent Transportation Systems, 2007
- Real-Time Freeway Level of Service Using Inductive-Signature-Based Vehicle Reidentification SystemIEEE Transactions on Intelligent Transportation Systems, 2005
- Mesoscopic-Wavelet Freeway Work Zone Flow and Congestion Feature Extraction ModelJournal of Transportation Engineering, 2004
- A fuzzy clustering-based approach to automatic freeway incident detection and characterizationFuzzy Sets and Systems, 2002
- Hybrid Neuro-Fuzzy Application in Short-Term Freeway Traffic Volume ForecastingTransportation Research Record: Journal of the Transportation Research Board, 2002
- A robust and scalable clustering algorithm for mixed type attributes in large database environmentPublished by Association for Computing Machinery (ACM) ,2001
- A Probabilistic Clustering Model for Variables of Mixed TypeQuality & Quantity, 2000
- Investigation of Some Characteristics of Congested FlowTransportation Research Record: Journal of the Transportation Research Board, 1999
- Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical ValuesData Mining and Knowledge Discovery, 1998
- Estimating the Dimension of a ModelThe Annals of Statistics, 1978