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Citizen science for traffic monitoring : investigating the potentials for complementing traffic counters with crowdsourced data
ID
Janež, Miha
(
Author
),
ID
Verovšek, Špela
(
Author
),
ID
Zupančič, Tadeja
(
Author
),
ID
Moškon, Miha
(
Author
)
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MD5: 3CACBEE58568C4C8237AA04660C5E539
URL - Source URL, Visit
https://www.mdpi.com/2071-1050/14/2/622
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Abstract
Traffic counts are among the most frequently employed data to assess the traffic patterns and key performance indicators of next generation sustainable cities. Automatised counting is often based on conventional traffic monitoring systems such as inductive loop counters (ILCs). These are costly to install, maintain, and support. In this paper, we investigate the possibilities to complement and potentially replace the existing traffic monitoring infrastructure with crowdsourcing solutions. More precisely, we investigate the capabilities to predict the ILC-obtained data using Telraam counters, low-cost camera counters voluntarily employed by citizens and freely accessible by the general public. In this context, we apply different exploratory data analysis approaches and demonstrate a regression procedure with a selected set of regression models. The presented analysis is demonstrated on different urban and highway road segments in Slovenia. Our results show that the data obtained from low-cost and easily accessible counters can be used to replace the existing traffic monitoring infrastructure in different scenarios. These results confirm the prospective to directly apply the citizen engagement in the process of planning and maintaining sustainable future cities.
Language:
English
Keywords:
traffic monitoring
,
regression
,
citizen science
,
inductive loop counters
,
Telraam counters
,
kernel ridge regression
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FRI - Faculty of Computer and Information Science
FA - Faculty of Architecture
Publication status:
Published
Publication version:
Version of Record
Year:
2022
Number of pages:
18 str.
Numbering:
Vol. 14, iss. 2, art. 622
PID:
20.500.12556/RUL-137202
UDC:
004:656.1
ISSN on article:
2071-1050
DOI:
10.3390/su14020622
COBISS.SI-ID:
92616963
Publication date in RUL:
06.06.2022
Views:
714
Downloads:
113
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Record is a part of a journal
Title:
Sustainability
Shortened title:
Sustainability
Publisher:
MDPI
ISSN:
2071-1050
COBISS.SI-ID:
5324897
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:
06.01.2022
Secondary language
Language:
Slovenian
Keywords:
spremljanje prometa
,
regresija
,
znanost množic
,
prometni števci z induktivno zanko
,
Telraam števci
Projects
Funder:
ARRS - Slovenian Research Agency
Project number:
J5-1798
Name:
Sistem integracije podatkov za vrednotenje trajnostne učinkovitosti slovenskih sosesk in naselij
Funder:
ARRS - Slovenian Research Agency
Project number:
P5-0068
Name:
Trajnostno oblikovanje kvalitetnega bivalnega okolja
Funder:
ARRS - Slovenian Research Agency
Project number:
P2-0359
Name:
Vseprisotno računalništvo
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