Transit frequency optimization in bi-modal networks using differential evolution algorithm

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Küçük Resim

Tarih

2022

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Turkish Chamber Civil Engineers

Erişim Hakkı

info:eu-repo/semantics/openAccess

Özet

This study proposes a bi-level optimization model for the transit frequency setting problem in bi-modal networks. The objective of the upper-level problem is to obtain a solution set of bus line frequencies that provide the minimum total travel cost of the car and bus users. Differential Evolution (DE) algorithm is employed in the upper-level model to determine the optimal headways for a given route structure. The lower-level model is a congested multi-modal user equilibrium assignment model, which considers the interactions of car and bus flows, for determining joint mode/route preferences of the network users, which considers the interactions of car and bus flows. The developed model is tested on Mandl's benchmark network to evaluate its performance and applicability. The comparative experiments demonstrate that the proposed model leads to reductions in transportation costs. Also, the result of numerous optimization runs shows that DE performs well in finding similar frequency sets in independent optimizations.

Açıklama

WOS:000864015100011

Anahtar Kelimeler

Transit Frequency Setting Problem, Bus Frequency Optimization, Multi-Modal Assignment, Differential Evolution Algorithm, Bi-Level Optimization

Kaynak

WoS Q Değeri

Q4

Scopus Q Değeri

N/A

Cilt

33

Sayı

5

Künye

Mutlu, M. M. , Aksoy, İ. C. & Alver, Y. (2022). Transit frequency optimization in bi-modal networks using differential evolution algorithm. Teknik Dergi , 33 (5) , 12601-12616 . DOI: 10.18400/tekderg.935950