Joint Frequency-Setting and Pricing Optimization on Multimodal Transit Networks at Scale

Copyright: © 2020 INFORMS Modern public transportation systems are increasingly complex: they are operated on a large scale, must support booming urban populations, and run under tight budget constraints. Additionally, passengers are able to make choices between a variety of commuting options. We de...

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Main Authors: Bertsimas, Dimitris, Sian Ng, Yee, Yan, Julia
Other Authors: Sloan School of Management
Format: Article
Language:English
Published: Institute for Operations Research and the Management Sciences (INFORMS) 2021
Online Access:https://hdl.handle.net/1721.1/135415
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author Bertsimas, Dimitris
Sian Ng, Yee
Yan, Julia
author2 Sloan School of Management
author_facet Sloan School of Management
Bertsimas, Dimitris
Sian Ng, Yee
Yan, Julia
author_sort Bertsimas, Dimitris
collection MIT
description Copyright: © 2020 INFORMS Modern public transportation systems are increasingly complex: they are operated on a large scale, must support booming urban populations, and run under tight budget constraints. Additionally, passengers are able to make choices between a variety of commuting options. We develop formulations for minimizing system wait time in multimodal networks, while accounting for operator budget constraints, capacity constraints, and passenger preferences. Furthermore, our algorithms run to near optimality in minutes for city-sized networks. We demonstrate the benefit of setting schedule frequencies and prices jointly through case studies on real data from Boston and Tokyo. To our knowledge, ours is the first paper that addresses joint frequency-setting and pricing optimization for public transit networks and at scale.
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spelling mit-1721.1/1354152023-09-07T20:45:56Z Joint Frequency-Setting and Pricing Optimization on Multimodal Transit Networks at Scale Bertsimas, Dimitris Sian Ng, Yee Yan, Julia Sloan School of Management Massachusetts Institute of Technology. Operations Research Center Copyright: © 2020 INFORMS Modern public transportation systems are increasingly complex: they are operated on a large scale, must support booming urban populations, and run under tight budget constraints. Additionally, passengers are able to make choices between a variety of commuting options. We develop formulations for minimizing system wait time in multimodal networks, while accounting for operator budget constraints, capacity constraints, and passenger preferences. Furthermore, our algorithms run to near optimality in minutes for city-sized networks. We demonstrate the benefit of setting schedule frequencies and prices jointly through case studies on real data from Boston and Tokyo. To our knowledge, ours is the first paper that addresses joint frequency-setting and pricing optimization for public transit networks and at scale. 2021-10-27T20:23:23Z 2021-10-27T20:23:23Z 2020 2021-02-05T19:41:14Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/135415 en 10.1287/TRSC.2019.0959 Transportation Science Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute for Operations Research and the Management Sciences (INFORMS) Other repository
spellingShingle Bertsimas, Dimitris
Sian Ng, Yee
Yan, Julia
Joint Frequency-Setting and Pricing Optimization on Multimodal Transit Networks at Scale
title Joint Frequency-Setting and Pricing Optimization on Multimodal Transit Networks at Scale
title_full Joint Frequency-Setting and Pricing Optimization on Multimodal Transit Networks at Scale
title_fullStr Joint Frequency-Setting and Pricing Optimization on Multimodal Transit Networks at Scale
title_full_unstemmed Joint Frequency-Setting and Pricing Optimization on Multimodal Transit Networks at Scale
title_short Joint Frequency-Setting and Pricing Optimization on Multimodal Transit Networks at Scale
title_sort joint frequency setting and pricing optimization on multimodal transit networks at scale
url https://hdl.handle.net/1721.1/135415
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