Capturing and Exploring Unobserved Heterogeneity in Traffic Crash Injuries in China: A Deep Learning Approach-Reference-Cited by-同舟云学术

Capturing and Exploring Unobserved Heterogeneity in Traffic Crash Injuries in China: A Deep Learning Approach

Published:2022-11-11 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 7th International Conference on Intelligent Transportation Engineering (ICITE)
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Author:

Jiang Titong¹,Hu Wenhao²,Liu Yahui¹,Xiao Lingyun²

Affiliation:

1. Tsinghua University,State Key Laboratory of Automobile Safety and Energy,Beijing,China

2. State Administration for Market Regulation Key Laboratory (Product Defect and Safety) SAMR Defective Product Administrative Center,Beijing,China

Funder

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10100965/10101375/10101376.pdf?arnumber=10101376

Reference19 articles.

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4. Enhancing Crash Injury Severity Prediction on Imbalanced Crash Data by Sampling Technique with Variable Selection

5. Age-Related Differences in AIS 3+ Crash Injury Risk, Types, Causation and Mechanisms;ridella;2012 IRCOBI Conference Proceedings - International Research Council on the Biomechanics of Injury,2012

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