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Updated: Sep 8, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
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Published on: February 25, 2013

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通过在异质交通条件下使用轨迹数据,研究面向冲突风险水平的时空交通动态

Vineet Jain1, Ashish Dhamaniya

  • 1Department of Civil Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, India.

Traffic injury prevention
|September 5, 2025
PubMed
概括

动态的时空交通因素,特别是速度变化等即时的车辆动态, 显著预测印度国家公路上的冲突风险. 这项研究可以为驾驶员在混合交通条件下实时发出安全警报.

关键词:
冲突风险水平订购的Probit模型机器学习无人驾驶飞行器

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