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Injury Severity Analysis of Secondary Incidents

  • Jing Li
  • Jingqiu GuoEmail author
Conference paper
  • 43 Downloads
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 185)

Abstract

Limited efforts have been made to unveil the factors affecting the severity of secondary incidents. Compared to primary incidents, secondary incidents are more injury and fatality prone. Secondary incidents that occurred on the Interstate-5 in California within five years were collected. Detailed real-time traffic flow data, geometric characteristics and weather conditions were obtained. First, a random forest-based (RF) feature selection approach was adopted. Then, support vector machine (SVM) models were developed to investigate the effects of contributing factors. For comparison, RF and ordered logistic (OL) models were also built based on the same dataset. It was found that the SVM model has high capacity for solving classification problems with limited data availability. Further, sensitivity analysis assessed the impacts of explanatory variables on the injury severity level. The results can provide guidance for the development of countermeasures and improvement of road safety policies to potentially reduce road trauma caused by secondary incidents.

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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.The Key Laboratory of Road and Traffic EngineeringMinistry of Education, Tongji UniversityShanghaiChina

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