Integrated decision model of mode, line, and frequency for a new transit line to improve the performance of the transportation network

Kim, Hyo-Seung; Kim, Dong Kyu; Kho, Seung-Young; Lee, Yonggwan

doi:10.1007/s12205-015-0575-x

Cited by 6 publications

(4 citation statements)

References 10 publications

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“…Kim et al [22] proposed an SA algorithm to solve a bilevel model where the upper-level problem controls the decisions corresponding to operators and the lower-level problem simulates the users' trip assignment. The addressed problem considers two transportation modes, transit and private cars.…”

Section: Metaheuristic Approachesmentioning

confidence: 99%

“…For example, Mauttone and Urquhart [19] proposed a multi-objective model considering the total travel time of users and the fleet size. A second type of multi-objective model contains bilevel formulations, as in the works by Gao et al [20], Szeto and Jiang [21], Kim et al [22] and Goerigk and Schmidt [23], where, usually, the upper-level problem is used to determine the lines and the frequencies, and the lower level is responsible for modeling the passenger route choice behavior for a given set of transit lines proposed by the upper level.…”

Section: Introductionmentioning

confidence: 99%

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A Multilayer Network Approach for the Bimodal Bus–Pedestrian Line Planning Problem

Canca,

Navarro-Carmona,

Villa

et al. 2023

Mathematics

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In this paper, we formulate and solve the urban line planning problem considering a multilayer representation of a bimodal transportation network. Classical formulations are usually constructed over a planar network, which implies the need to introduce several strong non-linearities in terms of frequencies when modeling transfer times. In the proposed network representation, each candidate line is stored in a specific layer and the passengers’ movements for each origin–destination pair are modelled considering a strategy subgraph, contributing to a sparse model formulation that guarantees feasibility and simplifies the assignment process. The methodology is first tested using the Mandl network, obtaining results that are comparable in terms of quality with the best metaheuristic approaches proposed in the scientific literature. With the aim of testing its applicability to large scenarios, the proposed approach is then used to design the main urban transit network of Seville, a large scenario with 141 nodes and 454 links, considering artificial unfavorable demand data. The reasonable computation time required to exactly solve the problem to optimality confirms the possibility of using the multilayer approach to deal with multimodal network design strategic problems.

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Section: Metaheuristic Approachesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Multilayer Network Approach for the Bimodal Bus–Pedestrian Line Planning Problem

Canca,

Navarro-Carmona,

Villa

et al. 2023

Mathematics

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“…The operator's cost can be determined by the formula in Equation (5) [49]. The cost is determined by the length of the line, the number of stops, frequency, fleet capacity, and maximum speed.…”

Section: Frequency Setting By Bi-level Modelingmentioning

confidence: 99%

A Transit Route Network Design Problem Considering Equity

2019

Self Cite

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As concerns about environmental quality, social equity, and economic efficiency are increasing, efforts on improving the sustainability of public transportation are being made all over the world. This study aims to propose a transit route network design problem that considers modal and spatial equities. The equities are accommodated by using two indexes that can simultaneously reflect mobility and accessibility. A decision-making process for designing a transit route network consists of the selection of the target line, selection of the target node, the determination of an alternative line, and the implementation of a procedure for setting frequency. The model is configured through bi-level modeling based on an iterative process to calculate the modal split and the traffic and transit assignments with changes in the transit route network. While the frequency of each line is determined by a genetic algorithm in the upper model, the modal split and traffic and transit assignments are implemented in the lower model. This transit route network design model and the associated algorithms are applied to a sample network. As a result, an improved solution with equity and the lower total cost is identified based on a comparison with the existing transit route network.

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“…The algorithm was tested on the real city of Rivera, Uruguay. Kim, Kim, Kho, & Lee [2016] developed a bi-level model to solve the TNDP, which simultaneously decides the mode type, route configuration and its frequency. They showed that the proposed integrated decision model can provide better solution compared to sequential decision methods.…”

Section: Heuristic Approachesmentioning

confidence: 99%

A methodology to design multimodal public transit networks : procedures and applications

Abedin¹

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Throughout my stay at TUMCREATE, I came across, some of the most intelligent, kind-hearted and encouraging people. They have touched my life in so many ways, that I would not have been able to do this without their support.Firstly, I would like to express my gratitude to Dr. Andreas Rau who believed in me and supported me for so many years through my stay at TUMCREATE. Secondly, I would like to thank Prof. Fritz Busch, whose continuous support and pragmatic view about research helped me to broaden my vision. It was him who told me, "follow your heart and the mind will follow, believe in yourself and your ideas". This gave me immense confidence that I needed, and I will always be thankful to him. Thirdly, I would like to thank Prof. David Z. W. Wang for his continuous support for my thesis, and I appreciate the freedom he gave me to pursue my research ideas. Fourthly, Prof. Avishai Ceder, with whom I have had some of the most productive and delightful discussions about public transit, its challenges and prospects. Not only that, I have also enjoyed his company enriched with anecdotes, riddles and jokes, which always have an interesting transport angle to them. I am grateful to him for his support and help during my PhD studies.To my colleagues, I would like to thank TUMCREATE in general and especially RP-8b, RP-10 and RRT teammates. The journey of my PhD would not have been possible without you guys. You were always there for me, whenever I needed you. I learnt a great deal, not just the scientific knowledge but also about the culture, customs, beliefs and good food.A special thanks to PTV AG for their continued support and for providing me a research license of VISUM software for my research! To my parents, I thank my father Iftikhar and my mother Rizwana, who always prayed and still pray for my success with their every living breath. They always guided me to make the right decision, and not once, I regretted any of my decisions.To my friends, who listened my sermons about transport, future, history and politics so patiently for all these years. They are and will be a great backing for years to come.Finally, to my wife Sara, who has stuck with me through thick and thin. I am thankful to you for cheering me up all these times, and pushing me to finish the thesis, whenever, I procrastinated.

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Integrated decision model of mode, line, and frequency for a new transit line to improve the performance of the transportation network

Cited by 6 publications

References 10 publications

A Multilayer Network Approach for the Bimodal Bus–Pedestrian Line Planning Problem

A Multilayer Network Approach for the Bimodal Bus–Pedestrian Line Planning Problem

A Transit Route Network Design Problem Considering Equity

A methodology to design multimodal public transit networks : procedures and applications

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