Optimization of parking capacities at railway station using firefly algorithm / Dang Suria Shariffuddin

In present years, many cities face way more challenges than before especially those related to the mobility of people and land usage. Parking management which links transportation and land use is one of the most challenging problems to encounter. Parking can be a nuisance when there is shortage of a...

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Bibliographic Details
Main Author:	Shariffuddin, Dang Suria
Format:	Thesis
Language:	English
Published:	2019
Subjects:	Parking. Automobile parking Algorithms
Online Access:	http://ir.uitm.edu.my/id/eprint/25027/ http://ir.uitm.edu.my/id/eprint/25027/1/TD_DANG%20SURIA%20SHARIFFUDDIN%20%20CS%20R%2019_5.pdf

id	uitm-25027
recordtype	eprints
spelling	uitm-250272019-07-25T08:25:58Z http://ir.uitm.edu.my/id/eprint/25027/ Optimization of parking capacities at railway station using firefly algorithm / Dang Suria Shariffuddin Shariffuddin, Dang Suria Parking. Automobile parking Algorithms In present years, many cities face way more challenges than before especially those related to the mobility of people and land usage. Parking management which links transportation and land use is one of the most challenging problems to encounter. Parking can be a nuisance when there is shortage of available of parking spaces, especially during peak hours. The main challenge is the scarcity and management of parking spaces. This is because of the unmet demand due to lack of parking spaces and ineffective use of available facilities. It is a common issue in overcrowding area where drivers need to face this crucial situation as the parking spaces provided are not enough to support the increasing number of the automobile on roads due to economic growth. KTMB Ipoh faced the same situation especially during peak hours where the parking area is always congested with drivers who drive in circles to find parking. The average time spent by drivers to find parking is estimated to be half an hour. Thus, this research is done to help the parking management team to improvise the efficiency of parking space provided to optimize the parking area. The purpose of this study is to maximize the number of parking. A firefly algorithm method is used to find the maximum number of the parking lot that can optimize the parking area. It is shown that with the current parking area, the number of parking can be increased by 48 lanes which can optimize the parking spaces to the fullest. 2019-07-25 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/25027/1/TD_DANG%20SURIA%20SHARIFFUDDIN%20%20CS%20R%2019_5.pdf Shariffuddin, Dang Suria (2019) Optimization of parking capacities at railway station using firefly algorithm / Dang Suria Shariffuddin. Degree thesis, Universiti Teknologi Mara Perlis.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Parking. Automobile parking Algorithms
spellingShingle	Parking. Automobile parking Algorithms Shariffuddin, Dang Suria Optimization of parking capacities at railway station using firefly algorithm / Dang Suria Shariffuddin
description	In present years, many cities face way more challenges than before especially those related to the mobility of people and land usage. Parking management which links transportation and land use is one of the most challenging problems to encounter. Parking can be a nuisance when there is shortage of available of parking spaces, especially during peak hours. The main challenge is the scarcity and management of parking spaces. This is because of the unmet demand due to lack of parking spaces and ineffective use of available facilities. It is a common issue in overcrowding area where drivers need to face this crucial situation as the parking spaces provided are not enough to support the increasing number of the automobile on roads due to economic growth. KTMB Ipoh faced the same situation especially during peak hours where the parking area is always congested with drivers who drive in circles to find parking. The average time spent by drivers to find parking is estimated to be half an hour. Thus, this research is done to help the parking management team to improvise the efficiency of parking space provided to optimize the parking area. The purpose of this study is to maximize the number of parking. A firefly algorithm method is used to find the maximum number of the parking lot that can optimize the parking area. It is shown that with the current parking area, the number of parking can be increased by 48 lanes which can optimize the parking spaces to the fullest.
format	Thesis
author	Shariffuddin, Dang Suria
author_facet	Shariffuddin, Dang Suria
author_sort	Shariffuddin, Dang Suria
title	Optimization of parking capacities at railway station using firefly algorithm / Dang Suria Shariffuddin
title_short	Optimization of parking capacities at railway station using firefly algorithm / Dang Suria Shariffuddin
title_full	Optimization of parking capacities at railway station using firefly algorithm / Dang Suria Shariffuddin
title_fullStr	Optimization of parking capacities at railway station using firefly algorithm / Dang Suria Shariffuddin
title_full_unstemmed	Optimization of parking capacities at railway station using firefly algorithm / Dang Suria Shariffuddin
title_sort	optimization of parking capacities at railway station using firefly algorithm / dang suria shariffuddin
publishDate	2019
url	http://ir.uitm.edu.my/id/eprint/25027/ http://ir.uitm.edu.my/id/eprint/25027/1/TD_DANG%20SURIA%20SHARIFFUDDIN%20%20CS%20R%2019_5.pdf
first_indexed	2023-09-18T23:13:54Z
last_indexed	2023-09-18T23:13:54Z
_version_	1777418983577747456

Optimization of parking capacities at railway station using firefly algorithm / Dang Suria Shariffuddin

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