Simulating the pedestrian movement in the public transport infrastructure
Aiming at assessing accurately and effectively of the mass people movement in public transport infrastructure, this research adopting video recording to capture the movement, direction, and demographic data of the users. This research associated with Siliconcoach software to support the data analysi...
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iium-521422017-10-23T07:29:46Z http://irep.iium.edu.my/52142/ Simulating the pedestrian movement in the public transport infrastructure Bohari, Zulfadly Azizi Mohamed Osman, Mariana Bachok, Syahriah HE199.9 Passenger traffic (General) Aiming at assessing accurately and effectively of the mass people movement in public transport infrastructure, this research adopting video recording to capture the movement, direction, and demographic data of the users. This research associated with Siliconcoach software to support the data analysis such as walking speed, most occupied exits and routes. Such analyzed data then processes in the SimWalk software to allow the 2D visualization of the movement of each user as an animation which taking into account the factors such as users’ characteristics; their familiarity with the attributes of the environment. Hence the output of the simulation beneficial in contributing towards planning and designing of potentially crowding public spaces in the future. Elsevier 2016-06-23 Article PeerReviewed application/pdf en http://irep.iium.edu.my/52142/1/Simulating%20the%20pedestrian%20movement%20in%20the%20public%20transport.pdf Bohari, Zulfadly Azizi and Mohamed Osman, Mariana and Bachok, Syahriah (2016) Simulating the pedestrian movement in the public transport infrastructure. Procedia - Social and Behavioral Sciences, 222. pp. 791-799. ISSN 1877-0428 http://www.sciencedirect.com/science/article/pii/S1877042816302415 http://dx.doi.org/10.1016/j.sbspro.2016.05.167 |
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Digital Repository |
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Local University |
institution |
International Islamic University Malaysia |
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collection |
Online Access |
language |
English |
topic |
HE199.9 Passenger traffic (General) |
spellingShingle |
HE199.9 Passenger traffic (General) Bohari, Zulfadly Azizi Mohamed Osman, Mariana Bachok, Syahriah Simulating the pedestrian movement in the public transport infrastructure |
description |
Aiming at assessing accurately and effectively of the mass people movement in public transport infrastructure, this research adopting video recording to capture the movement, direction, and demographic data of the users. This research associated with Siliconcoach software to support the data analysis such as walking speed, most occupied exits and routes. Such analyzed data then processes in the SimWalk software to allow the 2D visualization of the movement of each user as an animation which taking into account the factors such as users’ characteristics; their familiarity with the attributes of the environment. Hence the output of the simulation beneficial in contributing towards planning and designing of potentially crowding public spaces in the future. |
format |
Article |
author |
Bohari, Zulfadly Azizi Mohamed Osman, Mariana Bachok, Syahriah |
author_facet |
Bohari, Zulfadly Azizi Mohamed Osman, Mariana Bachok, Syahriah |
author_sort |
Bohari, Zulfadly Azizi |
title |
Simulating the pedestrian movement in the public transport infrastructure |
title_short |
Simulating the pedestrian movement in the public transport infrastructure |
title_full |
Simulating the pedestrian movement in the public transport infrastructure |
title_fullStr |
Simulating the pedestrian movement in the public transport infrastructure |
title_full_unstemmed |
Simulating the pedestrian movement in the public transport infrastructure |
title_sort |
simulating the pedestrian movement in the public transport infrastructure |
publisher |
Elsevier |
publishDate |
2016 |
url |
http://irep.iium.edu.my/52142/ http://irep.iium.edu.my/52142/ http://irep.iium.edu.my/52142/ http://irep.iium.edu.my/52142/1/Simulating%20the%20pedestrian%20movement%20in%20the%20public%20transport.pdf |
first_indexed |
2023-09-18T21:13:55Z |
last_indexed |
2023-09-18T21:13:55Z |
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1777411435800821760 |