Estimation and prediction of dynamic matrix travel on a public transport corridor using historical data and real-time information

Author:

Zúñiga Felipe,Muñoz Juan Carlos,Giesen Ricardo

Funder

FONDECYT/ANID

Volvo Research and Educational Foundations

CEDEUS/ANID

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,Mechanical Engineering,Transportation,Information Systems

Reference25 articles.

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2. Bierlaire M, Crittin F (2004) An efficient algorithm for real-time estimation and prediction of dynamic OD tables. Oper Res 52(1):116–127

3. Carrese S, Cipriani E, Mannini L, Nigro M (2017) Dynamic demand estimation and prediction for traffic urban networks adopting new data sources. Transp Res Part C Emerg Technol 81:83–98

4. Cybenko G (1989) Approximation by superpositions of a sigmoidal function. Math Control Signal Syst 2:303–314

5. De La Fuente García D, Pino Díez R (1995) Comparison of estimates and calculations of univariate transfer function, using the methodologies Box–Jenkins and neural networks. Qüestiió 19(1):187–215

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