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Updated: Jul 23, 2025

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通过城市网络建模预测车辆轨迹

Xinyan Qin1, Zhiheng Li1, Kai Zhang1,2

  • 1Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.

Sensors (Basel, Switzerland)
|July 11, 2023
PubMed
概括

预测出租车的目的地对于高效的运输至关重要. 本研究介绍了一个编码城市拓的时空注意网络 (UTA),有效地集成空间和时间数据,以改进出租车轨迹预测.

关键词:
轨迹大数据的大数据轨迹的预测和预测.城市计算城市计算.

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