2024-03-29T01:10:12Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/53742021-11-02T12:05:17Zcom_10259_4204com_10259_5086com_10259_2604col_10259_5373
Evaluation of traffic assignment models through simulation
Rojo Arce, Marta
assignment models
traffic
simulation
traffic studies
transport planning
Transporte
Transportation
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.
Research Contract entitled “Simulación y Análisis de Tráfico dentro del Estudio Informativo de la Autovía Orbital B-40” (Simulation and Traffic Analysis within the Study Report of the B-40 Orbital Highway) between GPYO Innova, S.L. and the University of Burgos (Spain) with reference number W24T06.
2020-07-13T10:29:13Z
2020-07-13T10:29:13Z
2020-07
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://hdl.handle.net/10259/5374
10.3390/su12145536
2071-1050
eng
Sustainability. 2020, V. 12, n. 14, 5536
https://doi.org/10.3390/su12145536
Atribución 4.0 Internacional
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
application/pdf
MDPI
https://riubu.ubu.es/bitstream/10259/5374/4/Rojo-sustainability_2020.pdf.jpg
Hispana
TEXT
http://creativecommons.org/licenses/by/4.0/
RIUBU. Repositorio Institucional de la Universidad de Burgos
http://hdl.handle.net/10259/5374