PCA-based missing information imputation for real-time crash likelihood prediction under imbalanced data
Author:
Affiliation:
1. Department of Civil and Environmental Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong
2. College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, People's Republic of China
Funder
Zhejiang Provincial Natural Science Foundation of China
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Key Research and Development Program of Zhejiang
Publisher
Informa UK Limited
Subject
General Engineering,Transportation
Link
https://www.tandfonline.com/doi/pdf/10.1080/23249935.2018.1542414
Reference64 articles.
1. Assessing Safety on Dutch Freeways with Data from Infrastructure-Based Intelligent Transportation Systems
2. Crash Risk Assessment Using Intelligent Transportation Systems Data and Real-Time Intervention Strategies to Improve Safety on Freeways
3. Calibrating a Real-Time Traffic Crash-Prediction Model Using Archived Weather and ITS Traffic Data
4. The Viability of Using Automatic Vehicle Identification Data for Real-Time Crash Prediction
5. Application of Stochastic Gradient Boosting Technique to Enhance Reliability of Real-Time Risk Assessment
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