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Title:Monte Carlo simulation-based approach to optimal bus stops allocation in the Municipality of Laško
Authors:ID Dragan, Dejan (Author)
ID Kramberger, Tomaž (Author)
ID Lipičnik, Martin (Author)
Files:.pdf PROMET_2011_Dragan,_Kramberger,_Lipicnik_Monte_Carlo_Simulation-based_Approach_to_Optimal_Bus_Stops_Allocation_in_the_Municipality_of_La.pdf (1,01 MB)
MD5: 6BF16E721DEF90EBCD2DA51EF2469421
 
URL http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/129
 
Language:English
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:FL - Faculty of Logistic
Abstract:The paper addresses the problem of optimal bus stop allocation. The aim is to achieve reduction of costs on account of appropriate re-design of the process of obligatory transportation of children from their homes to the corresponding schools in the Laško municipality. The proposed algorithm relies on optimization based on the Monte Carlo simulation procedure. The number of calculated bus stops is required to be minimal possible, which can still assure maximal service area within the prescribed radius, while keeping the minimal walking distances pupils have to go across from their homes to the nearest bus stop and vice versa. The main issues of the proposed algorithm are emphasised and the working mechanism is explained. The presentation of calculated results is given and comparison with some other existing algorithms is provided. The positions of the calculated bus stops are going to be used for the purpose of physical bus stops implementation in order to decrease the current transportation costs.
Keywords:location problems, maximal covering problems, optimization, Monte Carlo simulation
Publication status:Published
Publication version:Version of Record
Year of publishing:2011
Number of pages:str. 265-278
Numbering:Letn. 23, št. 4
PID:20.500.12556/DKUM-66020 New window
ISSN:0353-5320
UDC:519.2:656
ISSN on article:0353-5320
COBISS.SI-ID:512342333 New window
DOI:10.7307/ptt.v23i4.129 New window
NUK URN:URN:SI:UM:DK:YD6UBHLX
Publication date in DKUM:05.06.2017
Views:1466
Downloads:480
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Promet
Shortened title:Promet
Publisher:Fakultet prometnih znanosti, Fakulteta za pomorstvo in promet, Universita degli studi di Trieste, Istituto per lo studio dei transporti nell'integrazione economica europea, Fakultet za saobračaj i komunikacije, Fakulta prevadzky a ekonomiky dopravy a spojov, Dopravni fakulta Jana Pernera
ISSN:0353-5320
COBISS.SI-ID:1416196 New window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:05.06.2017

Secondary language

Language:Slovenian
Title:Monte Carlo simulacijski pristop pri določanju lokacij optimalnih avtobusnih postaj v občini Laško
Abstract:V prispevku je predstavljen problem določanja lokacij optimalnih avtobusnih postaj za potrebe zmanjševanja stroškov, nastalih zaradi prevoza otrok v občini Laško. Te je potrebno na osnovi zakonskih predpisov vsak dan razvoziti na pripadajoče šole ter jim zagotoviti vrnitev domov. Algoritem temelji na optimizaciji s pomočjo Monte Carlo simulacijske metode, pri čemer se izračunajo lokacije optimalnih avtobusnih postaj. Algoritem je sposoben izračunati najmanjše možno število avtobusnih postaj, ki pa bodo vseeno zagotavljale največje možno pokritje učencev v okviru predpisanega največjega radija pešačenja. Pri tem bo učencem potrebno prehoditi kar najkrajšo možno pot od doma do najbližje postaje in obratno. V prispevku so opisane glavne značilnosti delovanja mehanizma predlaganega algoritma. Prav tako je podan tudi prikaz vseh pomembnih izračunanih rezultatov in primerjava z nekaterimi drugimi obstoječimi algoritmi. Pozicije izračunanih avtobusnih postaj se bodo uporabile pri njihovi kasnejši fizični implementaciji z namenom kar največjega možnega zmanjšanja transportnih stroškov.
Keywords:lokacijski problemi, problemi maksimalnega pokritja, opti- mizacija, Monte Carlo simulacija, Geografski informacijski sistem (GIS), redukcija transportnih stroškov


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