Predicting Road Crash Severity Using Classifier Models and Crash Hotspots

Predicting Road Crash Severity Using Classifier Models and Crash Hotspots

The rapid increase in traffic volume on urban roads, over time, has altered the global traffic scenario. Additionally, it has increased the number of road crashes, some of which are severe and fatal in nature. The identification of hazardous roadway sections using the spatial pattern analysis of cra...

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Bibliographic Details
Main Authors: Md. Kamrul Islam, Imran Reza, Uneb Gazder, Rocksana Akter, Md Arifuzzaman, Muhammad Muhitur Rahman
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Applied Sciences
Subjects:
crash severity
crash types
ensembles
machine learning
hotspots
Online Access:https://www.mdpi.com/2076-3417/12/22/11354

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