Modelling and simulation of rail passengers to evaluate methods to reduce dwell times
The paper outlines a feasibility study using modelling and simulation to reduce dwell times and increase rail network capacity. We use agent based modelling, where passengers are treated as a separate entities, basing their movements on rules from the Social Force Model (SFM), proposed by Helbing to...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
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2015
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| Online Access: | https://eprints.nottingham.ac.uk/36441/ |
| _version_ | 1848795285414739968 |
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| author | Perkins, Adam Ryan, Brendan Siebers, Peer-Olaf |
| author_facet | Perkins, Adam Ryan, Brendan Siebers, Peer-Olaf |
| author_sort | Perkins, Adam |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | The paper outlines a feasibility study using modelling and simulation to reduce dwell times and increase rail network capacity. We use agent based modelling, where passengers are treated as a separate entities, basing their movements on rules from the Social Force Model (SFM), proposed by Helbing to model pedestrian dynamics. Implementing this SFM, together with a novel decision making system for passengers' door choices, a mesoscopic model is produced of the platform, train and passengers. An outline of the modelling process is presented, along with a critical analysis of the final model. Analyses are conducted to evaluate novel concepts in train and platform design, to reduce loading times, using passengers with a range of attributes. In a simulation experiment, four concepts (wider doors, designated boarding/alighting doors, and an active passenger information system) are assessed, with the latter two giving reductions in loading times of 7.0% and 7.3%. |
| first_indexed | 2025-11-14T19:29:39Z |
| format | Conference or Workshop Item |
| id | nottingham-36441 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:29:39Z |
| publishDate | 2015 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-364412020-05-04T17:16:34Z https://eprints.nottingham.ac.uk/36441/ Modelling and simulation of rail passengers to evaluate methods to reduce dwell times Perkins, Adam Ryan, Brendan Siebers, Peer-Olaf The paper outlines a feasibility study using modelling and simulation to reduce dwell times and increase rail network capacity. We use agent based modelling, where passengers are treated as a separate entities, basing their movements on rules from the Social Force Model (SFM), proposed by Helbing to model pedestrian dynamics. Implementing this SFM, together with a novel decision making system for passengers' door choices, a mesoscopic model is produced of the platform, train and passengers. An outline of the modelling process is presented, along with a critical analysis of the final model. Analyses are conducted to evaluate novel concepts in train and platform design, to reduce loading times, using passengers with a range of attributes. In a simulation experiment, four concepts (wider doors, designated boarding/alighting doors, and an active passenger information system) are assessed, with the latter two giving reductions in loading times of 7.0% and 7.3%. 2015-09-23 Conference or Workshop Item PeerReviewed Perkins, Adam, Ryan, Brendan and Siebers, Peer-Olaf (2015) Modelling and simulation of rail passengers to evaluate methods to reduce dwell times. In: 14th International Conference on Modeling and Applied Simulation, MAS 2015, 21-23 September 2015, Bergeggi, Italy. agent-based modelling simulation rail passengers dwell time reduction |
| spellingShingle | agent-based modelling simulation rail passengers dwell time reduction Perkins, Adam Ryan, Brendan Siebers, Peer-Olaf Modelling and simulation of rail passengers to evaluate methods to reduce dwell times |
| title | Modelling and simulation of rail passengers to evaluate methods to reduce dwell times |
| title_full | Modelling and simulation of rail passengers to evaluate methods to reduce dwell times |
| title_fullStr | Modelling and simulation of rail passengers to evaluate methods to reduce dwell times |
| title_full_unstemmed | Modelling and simulation of rail passengers to evaluate methods to reduce dwell times |
| title_short | Modelling and simulation of rail passengers to evaluate methods to reduce dwell times |
| title_sort | modelling and simulation of rail passengers to evaluate methods to reduce dwell times |
| topic | agent-based modelling simulation rail passengers dwell time reduction |
| url | https://eprints.nottingham.ac.uk/36441/ |