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With the increasing number of car owners in the following years, Traffic accidents have become an important issue in urban traffic management. However, the analysis of hotspot areas in traffic accidents still lacks sufficient attention for further improving traffic safety. This paper firstly researches traffic accident hotspots using point density and random forest model. Secondly, this paper visualizes hotspot areas in traffic accidents and discusses the corresponding strategies for solving the problem of urban traffic management. Finally, these corresponding strategies are discussed and some useful suggestions are given, which provide a new method for the prediction and management of hotspots in traffic accidents.

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A Novel Hotspot Strategies Based on Big Data and Its Application in Studying a Case of Miami State, U.S.A.

  • 会议论文

  • 发表日期：

    2026年

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  • Hewen Wei,
  • Zhuoxian Wei

摘要

With the increasing number of car owners in the following years, Traffic accidents have become an important issue in urban traffic management. However, the analysis of hotspot areas in traffic accidents still lacks sufficient attention for further improving traffic safety. This paper firstly researches traffic accident hotspots using point density and random forest model. Secondly, this paper visualizes hotspot areas in traffic accidents and discusses the corresponding strategies for solving the problem of urban traffic management. Finally, these corresponding strategies are discussed and some useful suggestions are given, which provide a new method for the prediction and management of hotspots in traffic accidents.