A simulation framework for a real-time demand responsive public transit system
Transit systems have encountered a radical change in the recent past as a result of the digital disruption. Consequently, traditional public transit systems no longer satisfy the diversified demands of passengers and hence, have been complemented by demand responsive transit solutions. However, we i...
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sg-ntu-dr.10356-1477272021-04-21T00:59:55Z A simulation framework for a real-time demand responsive public transit system Perera, Thilina Gamage, Chathura Nagoda Prakash, Alok Srikanthan, Thambipillai School of Computer Science and Engineering ITSC 2018 Engineering::Computer science and engineering Intelligent Transport Systems Graphical User Interfaces Transit systems have encountered a radical change in the recent past as a result of the digital disruption. Consequently, traditional public transit systems no longer satisfy the diversified demands of passengers and hence, have been complemented by demand responsive transit solutions. However, we identify a lack of simulation tools developed to test and validate complex scenarios for real-time demand responsive public transit. Thus, in this paper, we propose a simulation framework, which combines complex scenario creation, optimization algorithm execution and result visualization using SUMO, an open source continuous simulator. In comparison to a state-of-the-art work, the proposed tool supports features such as varying vehicle capacity and driving range, immediate and advance passenger requests and maximum travel time constraints. Further, the framework follows a modular architecture that allows plug-and-play support for external modules. 2021-04-21T00:59:54Z 2021-04-21T00:59:54Z 2018 Conference Paper Perera, T., Gamage, C. N., Prakash, A. & Srikanthan, T. (2018). A simulation framework for a real-time demand responsive public transit system. ITSC 2018, 2018-November, 608-613. https://dx.doi.org/10.1109/ITSC.2018.8569281 9781728103235 https://hdl.handle.net/10356/147727 10.1109/ITSC.2018.8569281 2-s2.0-85060448248 2018-November 608 613 en NRF TUMCREATE © 2018 Institute of Electrical and Electronics Engineers (IEEE). All rights reserved. |
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Engineering::Computer science and engineering Intelligent Transport Systems Graphical User Interfaces Perera, Thilina Gamage, Chathura Nagoda Prakash, Alok Srikanthan, Thambipillai A simulation framework for a real-time demand responsive public transit system |
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Transit systems have encountered a radical change in the recent past as a result of the digital disruption. Consequently, traditional public transit systems no longer satisfy the diversified demands of passengers and hence, have been complemented by demand responsive transit solutions. However, we identify a lack of simulation tools developed to test and validate complex scenarios for real-time demand responsive public transit. Thus, in this paper, we propose a simulation framework, which combines complex scenario creation, optimization algorithm execution and result visualization using SUMO, an open source continuous simulator. In comparison to a state-of-the-art work, the proposed tool supports features such as varying vehicle capacity and driving range, immediate and advance passenger requests and maximum travel time constraints. Further, the framework follows a modular architecture that allows plug-and-play support for external modules. |
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School of Computer Science and Engineering |
author_facet |
School of Computer Science and Engineering Perera, Thilina Gamage, Chathura Nagoda Prakash, Alok Srikanthan, Thambipillai |
format |
Conference or Workshop Item |
author |
Perera, Thilina Gamage, Chathura Nagoda Prakash, Alok Srikanthan, Thambipillai |
author_sort |
Perera, Thilina |
title |
A simulation framework for a real-time demand responsive public transit system |
title_short |
A simulation framework for a real-time demand responsive public transit system |
title_full |
A simulation framework for a real-time demand responsive public transit system |
title_fullStr |
A simulation framework for a real-time demand responsive public transit system |
title_full_unstemmed |
A simulation framework for a real-time demand responsive public transit system |
title_sort |
simulation framework for a real-time demand responsive public transit system |
publishDate |
2021 |
url |
https://hdl.handle.net/10356/147727 |
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1698713650333745152 |