Driving risk assessment using near-crash database through data mining of tree-based model.

@article{Wang2015DrivingRA,
  title={Driving risk assessment using near-crash database through data mining of tree-based model.},
  author={Jianqiang Wang and Yang Zheng and Xiaofei Li and Chenfei Yu and Kenji Kodaka and Keqiang Li},
  journal={Accident; analysis and prevention},
  year={2015},
  volume={84},
  pages={54-64}
}
This paper considers a comprehensive naturalistic driving experiment to collect driving data under potential threats on actual Chinese roads. Using acquired real-world naturalistic driving data, a near-crash database is built, which contains vehicle status, potential crash objects, driving environment and road types, weather condition, and driver information and actions. The aims of this study are summarized into two aspects: (1) to cluster different driving-risk levels involved in near-crashes… CONTINUE READING

From This Paper

Topics from this paper.
8 Citations
0 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-8 of 8 extracted citations

Similar Papers

Loading similar papers…