声明
Chapter 1: Introduction
1.1 Background
1.2 An Explanation of Contributing Factors to Accidents Injury Severity
1.2 Problem Statement of the Thesis:
1.3 Research Aims and Objectives
1.4 Organization and Summary of Thesis
Chapter 2 Literature Review
2.1 Introduction
2.1.1 Impact of Weather on Vehicle Condition
2.1.2 Impact of Weather on Road Condition
2.1.3 Impact of Weather on Driver Behaviour
2.1.4 Impact of Weather on Traffic Flow
2.2 Accident Severity Models
2.3 Limitations in Literature Review
Chapter 3 Methodology
3.1 Ordered Logistic Regression Model
3.2 Artificial Neural Network or MLP
3.2.1 Introduction:
3.2.2 How ANN Algorithm Works
3.2.3 Learning parameters
3.3 Decision Tree
3.3.1 Introduction
3.3.2 The Decision Tree Learning Algorithm
3.3.3 Deciding the “Best Attribute”
3.4 Random Forest
3.4.1 Introduction
3.4.2 Feature Importance
3.4.3 How does The Random Forests Algorithm work?
3.4.4 Difference between Random Forests and Decision Trees
Chapter 4 Data Collection and Preprocessing
4.1 Data Collection
4.2 Crash Severity Categories
4.3 Variables Considered in the Study
4.4 Data Description
4.5 Data Preparation and Preprocessing
4.6 Correlation Analysis
Chapter 5 Models Results and Analysis
5.1 Introduction
5.2 Statistical Analysis
5.3 Machine Learning Models Results
5.3.1 MLP Detailed Training Results:
5.3.2 Random Forest Classifier
5.3.3 Decision Tree Results Summary
5.4 Comparison of ML Models Results
Chapter 6 Results Discussion
6.1 Impact of Weather Related Factors on Accident Severity
6.1.1 Air Temperature
6.1.2 Average wind speed
6.1.3 Rainfall
6.1.4 Humidity
6.1.5 Wind Gust
6.2 Summarization
Chapter 7 Conclusion and Recommendations
7.1 Conclusion
7.2 Recommendations
致谢
参考文献
List of Figures
List of Tables
List of Synonyms
东南大学;
