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Southern inner ring road in Ljubljana : 2021 data set from traffic sensors installed as part of the citizen science project WeCount
ID
Ažman Momirski, Lučka
(
Author
),
ID
Berčič, Tomaž
(
Author
)
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https://www.sciencedirect.com/science/article/pii/S2352340922000907
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Abstract
The southern inner ring road in Ljubljana, Slovenia was equipped with low-cost sensors supported by the Telraam integrated platform. The sensors were built with open-source components (Raspberry PI). The software is running, and the counting data is collected and analysed via an internet portal (www.telraam.com). The Telraam sensor counts pedestrians, cyclists, cars and freight/heavy vehicles using the images provided by the device sensor and the analysis performed by the “Raspberry Pi” (a small computer on which the device is based). The sensor software uses the size and speed of the passing object to determine and classify the different vehicles. The classification is based on the average observed full value and the axis ratio of each observed object (which meets a set of criteria that helps filter out any movement in the field of view that should be associated with road users). The five traffic sensors camera is mounted directly on the inside of the window glass facing the street at varying distances from the road (from 3 to 15 meters), where they count traffic only during daylight hours, update their count every hour and separate car traffic by direction.
Language:
English
Keywords:
traffic data
,
cars
,
pedestrians
,
large vehicles
,
bicycles
,
citizens science
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FA - Faculty of Architecture
Publication status:
Published
Publication version:
Version of Record
Year:
2022
Number of pages:
12 str.
Numbering:
Vol. 41, art. 107878
PID:
20.500.12556/RUL-139062
UDC:
711.4:625.712.12(497.4Ljubljana)
ISSN on article:
2352-3409
DOI:
10.1016/j.dib.2022.107878
COBISS.SI-ID:
95647491
Publication date in RUL:
29.08.2022
Views:
743
Downloads:
165
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Record is a part of a journal
Title:
Data in brief
Publisher:
Elsevier
ISSN:
2352-3409
COBISS.SI-ID:
32117977
Licences
License:
CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:
http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:
The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Secondary language
Language:
Slovenian
Keywords:
podatki o prometu
,
avtomobili
,
pešci
,
tovorna vozila
,
kolesa
,
državljanska znanost
Projects
Funder:
EC - European Commission
Funding programme:
H2020
Project number:
872743
Name:
Citizens Observing UrbaN Transport
Acronym:
WeCount
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