Location of speed control cameras on highways: a geospatial analysis
This research proposes a methodology to identify critical sections of highways where the location of speeding control may be beneficial. The method relies on a spatial and statistical analysis of infrastructure risks, along with traffic accident frequency and severity. A relevant feature of this met...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Vilnius Gediminas Technical University
2021-08-01
|
Series: | Transport |
Subjects: | |
Online Access: | https://journals.vgtu.lt/index.php/Transport/article/view/15117 |
id |
doaj-a077c29e4fb241799939ec8b1760b52c |
---|---|
record_format |
Article |
spelling |
doaj-a077c29e4fb241799939ec8b1760b52c2021-09-28T11:03:39ZengVilnius Gediminas Technical UniversityTransport1648-41421648-34802021-08-0136319921210.3846/transport.2021.1511715117Location of speed control cameras on highways: a geospatial analysisGaris Coronell0Julián Arellana1Víctor Cantillo2Dept of Civil and Environmental Engineering, University of the North, Barranquilla, ColombiaDept of Civil and Environmental Engineering, University of the North, Barranquilla, ColombiaDept of Civil and Environmental Engineering, University of the North, Barranquilla, ColombiaThis research proposes a methodology to identify critical sections of highways where the location of speeding control may be beneficial. The method relies on a spatial and statistical analysis of infrastructure risks, along with traffic accident frequency and severity. A relevant feature of this methodology is related to its potential to be used in areas where there are no detailed historical records about traffic crashes, which is common in Global South countries. We applied the methodology to a rural road network in Colombia, where a recent law established that technical criteria should support the location of speed cameras. The case study uses accident information from six years, and risk data from a road safety audit carried out in the area under study. Even though historical records of accidents in the area were not fully available, the methodology allowed prioritising speed camera installations in the zone and identifying the relevant variables to define camera location. The relevant variables were the geometric characteristics of the road, traffic flows, risk factors, and proximity to populated centres. The use of speed controls should be part of a road safety management system, which allows defining camera location according to robust technical criteria.https://journals.vgtu.lt/index.php/Transport/article/view/15117speeding control camerastraffic crashesstatistical analysiskernel densityhighway safetyroad safety |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Garis Coronell Julián Arellana Víctor Cantillo |
spellingShingle |
Garis Coronell Julián Arellana Víctor Cantillo Location of speed control cameras on highways: a geospatial analysis Transport speeding control cameras traffic crashes statistical analysis kernel density highway safety road safety |
author_facet |
Garis Coronell Julián Arellana Víctor Cantillo |
author_sort |
Garis Coronell |
title |
Location of speed control cameras on highways: a geospatial analysis |
title_short |
Location of speed control cameras on highways: a geospatial analysis |
title_full |
Location of speed control cameras on highways: a geospatial analysis |
title_fullStr |
Location of speed control cameras on highways: a geospatial analysis |
title_full_unstemmed |
Location of speed control cameras on highways: a geospatial analysis |
title_sort |
location of speed control cameras on highways: a geospatial analysis |
publisher |
Vilnius Gediminas Technical University |
series |
Transport |
issn |
1648-4142 1648-3480 |
publishDate |
2021-08-01 |
description |
This research proposes a methodology to identify critical sections of highways where the location of speeding control may be beneficial. The method relies on a spatial and statistical analysis of infrastructure risks, along with traffic accident frequency and severity. A relevant feature of this methodology is related to its potential to be used in areas where there are no detailed historical records about traffic crashes, which is common in Global South countries. We applied the methodology to a rural road network in Colombia, where a recent law established that technical criteria should support the location of speed cameras. The case study uses accident information from six years, and risk data from a road safety audit carried out in the area under study. Even though historical records of accidents in the area were not fully available, the methodology allowed prioritising speed camera installations in the zone and identifying the relevant variables to define camera location. The relevant variables were the geometric characteristics of the road, traffic flows, risk factors, and proximity to populated centres. The use of speed controls should be part of a road safety management system, which allows defining camera location according to robust technical criteria. |
topic |
speeding control cameras traffic crashes statistical analysis kernel density highway safety road safety |
url |
https://journals.vgtu.lt/index.php/Transport/article/view/15117 |
work_keys_str_mv |
AT gariscoronell locationofspeedcontrolcamerasonhighwaysageospatialanalysis AT julianarellana locationofspeedcontrolcamerasonhighwaysageospatialanalysis AT victorcantillo locationofspeedcontrolcamerasonhighwaysageospatialanalysis |
_version_ |
1716866269152542720 |