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    • Seasonal Dynamics-Aware Quantification of Traffic Sign Visibility and Simulation of Street Tree Pruning

    • “The research team has established a decision-making framework that connects seasonal occlusion dynamic quantification and multi intensity pruning simulation evaluation to address the issue of roadside trees obstructing traffic signs. This provides a scientific basis for the collaborative management and maintenance of urban roadside trees in terms of traffic safety, ecology, and landscape.”
      • role：First author第一作者
      • Affiliation：

        School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255000, China

      • Email：lijintao@sdut.edu.cn
      • Introduction：李金涛，研究方向为激光点云数据处理理论与应用、道路环境智能感知与服务。E-mail： lijintao@sdut.edu.cn

      LI Jintao

      1,
      • role：Corresponding author通信作者
      • Affiliation：

        College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China

        Urban Mobility Institute, Tongji University, Shanghai 200092, China

      • Email：hb@tongji.edu.cn
      • Introduction：吴杭彬，主要从事复杂场景的感知、认知和服务技术研究。E-mail： hb@tongji.edu.cn

      WU Hangbin

      23 * ,
      • Affiliation：

        School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255000, China

      LIU Zhaozhi

      1,
      • Affiliation：

        College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China

      HU Hanpeng

      2,
      • Affiliation：

        College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China

      KONG Yuanhang

      2
    • Pages: 1-13(2026)  

    • DOI：10.11834/jrs.20266078    

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