Developing Pedestrian Fatality Prediction Models Using Historical Crash Data: Application of Binary Logistic Regression and Boosted Tree Mechanism

Developing Pedestrian Fatality Prediction Models Using Historical Crash Data: Application of Binary Logistic Regression and Boosted Tree Mechanism

Pedestrian fatality rate plays a key role in examining effectiveness of the road safety. The present study attempts to examine the effect of various categories of accused vehicles and the average 85th percentile speed at accident location on the pedestrian crash fatality. The study also attempts to...

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Bibliographic Details
Main Authors: Malaya Mohanty, Bitati Sarkar, Piotr Gorzelańczyk, Rachita Panda, Srinivasa Rao Gandupalli, Ampereza Ankunda
Format: Article
Language:English
Published: University of Žilina 2023-04-01
Series:Communications
Subjects:
pedestrian fatalities
vehicle category
85th percentile speed
binary logistic model
boosted tree model
Online Access:https://komunikacie.uniza.sk/artkey/csl-202302-0018_developing-pedestrian-fatality-prediction-models-using-historical-crash-data-application-of-binary-logistic-re.php

Internet

https://komunikacie.uniza.sk/artkey/csl-202302-0018_developing-pedestrian-fatality-prediction-models-using-historical-crash-data-application-of-binary-logistic-re.php

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