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No-boarding buses: Synchronisation for efficiency

We investigate a no-boarding policy in a system of N buses serving M bus stops in a loop, which is an entrainment mechanism to keep buses synchronised in a reasonably staggered configuration. Buses always allow alighting, but would disallow boarding if certain criteria are met. For an analytically t...

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Detalles Bibliográficos
Autores principales: Saw, Vee-Liem, Chew, Lock Yue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7089533/
https://www.ncbi.nlm.nih.gov/pubmed/32203548
http://dx.doi.org/10.1371/journal.pone.0230377
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author Saw, Vee-Liem
Chew, Lock Yue
author_facet Saw, Vee-Liem
Chew, Lock Yue
author_sort Saw, Vee-Liem
collection PubMed
description We investigate a no-boarding policy in a system of N buses serving M bus stops in a loop, which is an entrainment mechanism to keep buses synchronised in a reasonably staggered configuration. Buses always allow alighting, but would disallow boarding if certain criteria are met. For an analytically tractable theory, buses move with the same natural speed (applicable to programmable self-driving buses), where the average waiting time experienced by passengers waiting at the bus stop for a bus to arrive can be calculated. The analytical results show that a no-boarding policy can dramatically reduce the average waiting time, as compared to the usual situation without the no-boarding policy. Subsequently, we carry out simulations to verify these theoretical analyses, also extending the simulations to typical human-driven buses with different natural speeds based on real data. Finally, a simple general adaptive algorithm is implemented to dynamically determine when to implement no-boarding in a simulation for a real university shuttle bus service.
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spelling pubmed-70895332020-04-01 No-boarding buses: Synchronisation for efficiency Saw, Vee-Liem Chew, Lock Yue PLoS One Research Article We investigate a no-boarding policy in a system of N buses serving M bus stops in a loop, which is an entrainment mechanism to keep buses synchronised in a reasonably staggered configuration. Buses always allow alighting, but would disallow boarding if certain criteria are met. For an analytically tractable theory, buses move with the same natural speed (applicable to programmable self-driving buses), where the average waiting time experienced by passengers waiting at the bus stop for a bus to arrive can be calculated. The analytical results show that a no-boarding policy can dramatically reduce the average waiting time, as compared to the usual situation without the no-boarding policy. Subsequently, we carry out simulations to verify these theoretical analyses, also extending the simulations to typical human-driven buses with different natural speeds based on real data. Finally, a simple general adaptive algorithm is implemented to dynamically determine when to implement no-boarding in a simulation for a real university shuttle bus service. Public Library of Science 2020-03-23 /pmc/articles/PMC7089533/ /pubmed/32203548 http://dx.doi.org/10.1371/journal.pone.0230377 Text en © 2020 Saw, Chew http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Saw, Vee-Liem
Chew, Lock Yue
No-boarding buses: Synchronisation for efficiency
title No-boarding buses: Synchronisation for efficiency
title_full No-boarding buses: Synchronisation for efficiency
title_fullStr No-boarding buses: Synchronisation for efficiency
title_full_unstemmed No-boarding buses: Synchronisation for efficiency
title_short No-boarding buses: Synchronisation for efficiency
title_sort no-boarding buses: synchronisation for efficiency
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7089533/
https://www.ncbi.nlm.nih.gov/pubmed/32203548
http://dx.doi.org/10.1371/journal.pone.0230377
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