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ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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crash_dataset_2022_2024.xls,sensor_dataset_2022-2024

Authors: Road Maintenance & Transportation Organization(RMTO);

crash_dataset_2022_2024.xls,sensor_dataset_2022-2024

Abstract

The uploaded File input is the raw Log-file records of Traffic-Sensors in addition to Database tables on Inventory Roads from Road Maintenance & Transportation Organization (RMTO). The data set contains geocoded observations (x–y point locations) for road segments and sensors, but all sensitive or identifying attributes have been deleted or obscured in the process of release. The original data were provided under official correspondence to authors from RMTO, and the authors curated, cleaned and formatted the data for scientific analysis and reproducible research. RMTOis mentioned as a Creator in recognition of its work as the primary collector and owner of the source data.

Keywords

road safety, traffic sensors

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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average