2026-04-21T12:05:28Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/53742024-05-20T06:50:11Zcom_10259_4204com_10259_5086com_10259_2604col_10259_5373
Repositorio Institucional de la Universidad de Burgos
author
Rojo Arce, Marta
2020-07-13T10:29:13Z
2020-07-13T10:29:13Z
2020-07
http://hdl.handle.net/10259/5374
10.3390/su12145536
2071-1050
Assignment methodologies attempt to determine the traffic flow over each network arc based on its characteristics and the total flow over the entire area. There are several methodologies—some fast and others that are more complex and require more time to complete the calculation. In this study, we evaluated different assignment methodologies using a computer simulation and tested the results in a specific case study. The results showed that the “all-or-nothing” methods and the incremental assignment methods generally yield results with an unacceptable level of error unless the traffic is divided into four or more equal parts. The method of successive averages (MSA) was valid starting from a relatively low number of iterations, while the user equilibrium methodologies (approximated using the Frank and Wolfe algorithm) were valid starting from an even lower number of iterations. These results may be useful to researchers in the field of computer simulation and planners who apply these methodologies in similar cases.
eng
Atribución 4.0 Internacional
assignment models
Traffic
Simulation
Traffic studies
Transport planning
Evaluation of traffic assignment models through simulation
info:eu-repo/semantics/article
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URL
https://riubu.ubu.es/bitstream/10259/5374/1/Rojo-sustainability_2020.pdf
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Rojo-sustainability_2020.pdf
URL
https://riubu.ubu.es/bitstream/10259/5374/5/Rojo-sustainability_2020.pdf.txt
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Rojo-sustainability_2020.pdf.txt