Presenting a Spatial Data Mining Based on Stage Interpretable Multilayer Deep Learning Approach to Analyze the Factors Affecting the Crash Frequency of Light Vehicles in Rural Freeways-Reference-Cited by-同舟云学术

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Presenting a Spatial Data Mining Based on Stage Interpretable Multilayer Deep Learning Approach to Analyze the Factors Affecting the Crash Frequency of Light Vehicles in Rural Freeways

Published:2024 Issue: Volume: Page:
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Author:

Effati Meysam,Ramezanpoor Amirmohammad

Publisher

Elsevier BV

Reference64 articles.

1. Modeling traffic accident occurrence and involvement;M A Abdel-Aty;Accident Analysis & Prevention,2000

2. Random-parameters analysis of highway characteristics on crash frequency and injury severity;B R Agbelie;Journal of traffic and transportation engineering (English edition),2016

3. Analysis of factors affecting the frequency of crashes on interstate freeways by vehicle type considering multiple weather variables;C Aguilar;Journal of Transportation Safety & Security,2022

4. Providing a Method for Accident Severity Analysis Using Geospatial Clustering Functions and Decision Tree, Case Study: Qazvin-Loshan Freeway;H Behbahani;Journal of Civil Engineering,2019

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