A compact and scalable representation of network traffic dynamics using shapes and its applications-Reference-Cited by-同舟云学术

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A compact and scalable representation of network traffic dynamics using shapes and its applications

Published:2020-12 Issue: Volume:121 Page:102850
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Krishnakumari Panchamy,Cats Oded,van Lint Hans

Publisher

Elsevier BV

Subject

Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference40 articles.

1. Multigrid solvers and multilevel optimization strategies;Brandt;Multilevel Optimiz. VLSICAD,2013

2. Comparison of coarsening schemes for multilevel graph partitioning;Chevalier,2009

3. Active shape models-their training and application;Cootes;Comput. Vision Image Understand.,1995

4. Elements of Information Theory;Cover,2012

5. On the parameterized complexity of consensus clustering;Dörnfelder;Theoret. Comput. Sci.,2014

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1. Spatiotemporal Analysis of Traffic Data: Correspondence Analysis with Fuzzified Variables vs. Principal Component Analysis Using Weather and Gas Price as Extra Data;Networks and Spatial Economics;2024-05-03

2. Revealing representative day-types in transport networks using traffic data clustering;Journal of Intelligent Transportation Systems;2023-05-18

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