Demonstration of Smart Railway Level Crossing Design and Validation Using Data from Metro Rail, South Africa
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F22%3A39919628" target="_blank" >RIV/00216275:25530/22:39919628 - isvavai.cz</a>
Result on the web
<a href="https://www.hindawi.com/journals/jat/2022/6614242/" target="_blank" >https://www.hindawi.com/journals/jat/2022/6614242/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1155/2022/6614242" target="_blank" >10.1155/2022/6614242</a>
Alternative languages
Result language
angličtina
Original language name
Demonstration of Smart Railway Level Crossing Design and Validation Using Data from Metro Rail, South Africa
Original language description
Long waiting time at railway level crossings poses a risk on the safety and affects capacity of rail and road traffic. However, in most cases, the long closing time can be prevented by reducing the time lost at a railway level crossing. The emphasis of this study is to present a numerical optimisation algorithm to reduce the time lost per train trip at a railway level crossing. Thus, attributes with the highest impact on the railway level crossing closing time were extracted from the data analysis of rail-road level crossings on the southern corridor of the Western Cape metro rail. Powell's optimisation algorithm was formulated on the minimisation of the time lost at the railway level crossing per trip. Thus, time lost is constrained by the technical and train's traction constraints. The upper and lower bounds of Powell's algorithm were defined by the threshold closing time in addition to the actual and expected probability density functions. The algorithm was implemented in Matlab. Furthermore, the algorithm was trained on 8000 data sets and tested on 2000 data sets. The developed algorithm proved to be effective and robust in comparison to the current state of railway level crossings under study. Thus, the algorithm was validated to reduce the time lost at the railway level crossing by at least 50%.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20104 - Transport engineering
Result continuities
Project
<a href="/en/project/EF17_049%2F0008394" target="_blank" >EF17_049/0008394: Cooperation in Applied Research between the University of Pardubice and companies, in the Field of Positioning, Detection and Simulation Technology for Transport Systems (PosiTrans)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Advanced Transportation
ISSN
0197-6729
e-ISSN
2042-3195
Volume of the periodical
2022
Issue of the periodical within the volume
February
Country of publishing house
GB - UNITED KINGDOM
Number of pages
10
Pages from-to
nestrankovano
UT code for WoS article
000774326600002
EID of the result in the Scopus database
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