Capacity-Constrained Network Performance Model for Urban Rail Systems
© National Academy of Sciences: Transportation Research Board 2020. This paper proposes a general network performance model (NPM) for monitoring the performance of urban rail systems using smart card data. NPM is a schedule-based network loading model with strict capacity constraints and boarding pr...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publications
2021
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| Online Access: | https://hdl.handle.net/1721.1/135454 |
| _version_ | 1811084559290204160 |
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| author | Mo, Baichuan Ma, Zhenliang Koutsopoulos, Haris N Zhao, Jinhua |
| author2 | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Mo, Baichuan Ma, Zhenliang Koutsopoulos, Haris N Zhao, Jinhua |
| author_sort | Mo, Baichuan |
| collection | MIT |
| description | © National Academy of Sciences: Transportation Research Board 2020. This paper proposes a general network performance model (NPM) for monitoring the performance of urban rail systems using smart card data. NPM is a schedule-based network loading model with strict capacity constraints and boarding priorities. It distributes passengers over the network given origin-destination demand, operations, route choice, and effective train capacity. A Bayesian simulation-based optimization method for calibrating the effective train capacity is introduced, which explicitly recognizes that capacity may be different at different stations depending on congestion levels. Case studies with data from the Mass Transit Railway network in Hong Kong are used to validate the model and illustrate its applicability. NPM is validated using survey data on left-behind passengers and exiting passenger flow extracted from smart card data. The use of NPM for performance monitoring is demonstrated by analyzing the spatial-temporal crowding patterns in the system and evaluating dispatching strategies. |
| first_indexed | 2024-09-23T12:53:06Z |
| format | Article |
| id | mit-1721.1/135454 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T12:53:06Z |
| publishDate | 2021 |
| publisher | SAGE Publications |
| record_format | dspace |
| spelling | mit-1721.1/1354542023-02-22T17:17:11Z Capacity-Constrained Network Performance Model for Urban Rail Systems Mo, Baichuan Ma, Zhenliang Koutsopoulos, Haris N Zhao, Jinhua Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Massachusetts Institute of Technology. Department of Urban Studies and Planning © National Academy of Sciences: Transportation Research Board 2020. This paper proposes a general network performance model (NPM) for monitoring the performance of urban rail systems using smart card data. NPM is a schedule-based network loading model with strict capacity constraints and boarding priorities. It distributes passengers over the network given origin-destination demand, operations, route choice, and effective train capacity. A Bayesian simulation-based optimization method for calibrating the effective train capacity is introduced, which explicitly recognizes that capacity may be different at different stations depending on congestion levels. Case studies with data from the Mass Transit Railway network in Hong Kong are used to validate the model and illustrate its applicability. NPM is validated using survey data on left-behind passengers and exiting passenger flow extracted from smart card data. The use of NPM for performance monitoring is demonstrated by analyzing the spatial-temporal crowding patterns in the system and evaluating dispatching strategies. 2021-10-27T20:23:31Z 2021-10-27T20:23:31Z 2020 2020-08-28T15:44:21Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/135454 en 10.1177/0361198120914309 Transportation Research Record Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf SAGE Publications MIT web domain |
| spellingShingle | Mo, Baichuan Ma, Zhenliang Koutsopoulos, Haris N Zhao, Jinhua Capacity-Constrained Network Performance Model for Urban Rail Systems |
| title | Capacity-Constrained Network Performance Model for Urban Rail Systems |
| title_full | Capacity-Constrained Network Performance Model for Urban Rail Systems |
| title_fullStr | Capacity-Constrained Network Performance Model for Urban Rail Systems |
| title_full_unstemmed | Capacity-Constrained Network Performance Model for Urban Rail Systems |
| title_short | Capacity-Constrained Network Performance Model for Urban Rail Systems |
| title_sort | capacity constrained network performance model for urban rail systems |
| url | https://hdl.handle.net/1721.1/135454 |
| work_keys_str_mv | AT mobaichuan capacityconstrainednetworkperformancemodelforurbanrailsystems AT mazhenliang capacityconstrainednetworkperformancemodelforurbanrailsystems AT koutsopoulosharisn capacityconstrainednetworkperformancemodelforurbanrailsystems AT zhaojinhua capacityconstrainednetworkperformancemodelforurbanrailsystems |