一项基于时间图注意力网络的相邻交叉关系研究

Pengcheng Li1, Baotian Dong1, Sixian Li1

  • 1School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China.

PubMed
概括

本研究介绍了用于交通控制的时间图注意力网络 (TGAT) 模型,改进了十字路口状态分类和相关性计算. 该TGAT模型展示了卓越的准确性,并提高了道路网络的效率.

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