Applying optimization algorithms for spatial estimation of travel demand variables

Applying optimization algorithms for spatial estimation of travel demand variables

Using spatial statistics techniques is a way to improve the forecast of travel demand variables considering their spatial dependence. The semivariogram is a proper geostatistic tool for represent the spatial structure of a Regionalized Variable. Therefore, the semivariogram modeling is a fundamental...

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Bibliographic Details
Main Authors: Samille Santos Rocha, Cira Souza Pitombo, Luís Henrique Magalhães Costa, Samuel de França Marques
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:Transportation Research Interdisciplinary Perspectives
Subjects:
Genetic Algorithms
Optimization
Semivariograms
Geographically Weighted Regression
Kriging with External Drift
Travel Demand
Online Access:http://www.sciencedirect.com/science/article/pii/S2590198221000762

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http://www.sciencedirect.com/science/article/pii/S2590198221000762

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