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Software . 2023
License: CC BY
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Software . 2023
License: CC BY
Data sources: Datacite
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humera-k/RF_Accident_Severity: Random forest accident severity prediction modelling

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 29 Apr 2023Publisher:Zenodo
Authors: humera-k;
Code repository: https://github.com/humera-k/RF_Accident_Severity/tree/accidentpredictionmodelling

doi: 10.5281/zenodo.7879330 , 10.5281/zenodo.7879331

humera-k/RF_Accident_Severity: Random forest accident severity prediction modelling

Abstract

This code is used to predict the accident severity for the Indian Highways stretches Pune-Sholapur Section of NH-9 in km.144/400 to Km. 249/000 in the State of Maharashtra. Six-Laning of Barwa-Adda-Panagarh Section of NH-2 from km 398.240 to km 521.120 including Panagarh Bypass in the States of Jharkhand and West Bengal. This code is first release, and we invite the contribution for further upgrades.

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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).
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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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