Corpus ID: 236447634

Analyzing vehicle pedestrian interactions combining data cube structure and predictive collision risk estimation model

@article{Noh2021AnalyzingVP,
  title={Analyzing vehicle pedestrian interactions combining data cube structure and predictive collision risk estimation model},
  author={Byeongjoon Noh and Hansaem Park and Hwasoo Yeo},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.12507}
}
Road traffic accidents are a severe threat to human lives, particularly to vulnerable road users (VRUs) such as pedestrians causing premature deaths. Therefore, it is necessary to devise systems to prevent accidents in advance and respond proactively, using potential risky situations as one of the surrogate safety measurements. This study introduces a new concept of a pedestrian safety system that combines the field and the centralized processes. The system can warn of upcoming risks… Expand
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