Optimizing Transit Network Departure Frequency considering Congestion Effects
This paper introduces a bilevel programming model for optimizing transit network departure frequency. In the upper-level model, user satisfaction is reflected by considering congestion effects in the cost function. The lower-level assignment model simulates passenger travel behavior more realistical...
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Format: | Article |
Language: | English |
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Wiley
2024-01-01
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Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2024/8131887 |
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author | Wei Tan Xiaodong Peng Jun Huang Yuwen Wang Jiandong Qiu Xiaobo Liu |
author_facet | Wei Tan Xiaodong Peng Jun Huang Yuwen Wang Jiandong Qiu Xiaobo Liu |
author_sort | Wei Tan |
collection | DOAJ |
description | This paper introduces a bilevel programming model for optimizing transit network departure frequency. In the upper-level model, user satisfaction is reflected by considering congestion effects in the cost function. The lower-level assignment model simulates passenger travel behavior more realistically by incorporating congestion effects. This problem is solved by a heuristic gradient descent algorithm, where an approximation of the gradient is obtained at each iteration by using sensitivity analysis for transit equilibrium problems. The effectiveness of the proposed model and algorithm is demonstrated through two test examples, one of which involves a real-world scenario comprising over 130 transit lines. Numerical results conclusively indicate that the incorporation of congestion effects in the proposed model leads to improved transit system performance and enhanced user satisfaction. |
format | Article |
id | doaj-art-9ab50aee28b74c918f22decf31528c41 |
institution | Kabale University |
issn | 2042-3195 |
language | English |
publishDate | 2024-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Advanced Transportation |
spelling | doaj-art-9ab50aee28b74c918f22decf31528c412025-02-03T07:23:37ZengWileyJournal of Advanced Transportation2042-31952024-01-01202410.1155/2024/8131887Optimizing Transit Network Departure Frequency considering Congestion EffectsWei Tan0Xiaodong Peng1Jun Huang2Yuwen Wang3Jiandong Qiu4Xiaobo Liu5School of Transportation and LogisticsSouthwest Municipal Engineering Design & Research Institute of ChinaSchool of Transportation and LogisticsSchool of Transportation and LogisticsShenzhen Urban Transport Planning Center Co.School of Transportation and LogisticsThis paper introduces a bilevel programming model for optimizing transit network departure frequency. In the upper-level model, user satisfaction is reflected by considering congestion effects in the cost function. The lower-level assignment model simulates passenger travel behavior more realistically by incorporating congestion effects. This problem is solved by a heuristic gradient descent algorithm, where an approximation of the gradient is obtained at each iteration by using sensitivity analysis for transit equilibrium problems. The effectiveness of the proposed model and algorithm is demonstrated through two test examples, one of which involves a real-world scenario comprising over 130 transit lines. Numerical results conclusively indicate that the incorporation of congestion effects in the proposed model leads to improved transit system performance and enhanced user satisfaction.http://dx.doi.org/10.1155/2024/8131887 |
spellingShingle | Wei Tan Xiaodong Peng Jun Huang Yuwen Wang Jiandong Qiu Xiaobo Liu Optimizing Transit Network Departure Frequency considering Congestion Effects Journal of Advanced Transportation |
title | Optimizing Transit Network Departure Frequency considering Congestion Effects |
title_full | Optimizing Transit Network Departure Frequency considering Congestion Effects |
title_fullStr | Optimizing Transit Network Departure Frequency considering Congestion Effects |
title_full_unstemmed | Optimizing Transit Network Departure Frequency considering Congestion Effects |
title_short | Optimizing Transit Network Departure Frequency considering Congestion Effects |
title_sort | optimizing transit network departure frequency considering congestion effects |
url | http://dx.doi.org/10.1155/2024/8131887 |
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