An improved hybrid model for vehicle trajectory prediction considering spatiotemporal interactions

Zhishun Zhang; Ting Xu; Jiehan Zhou; Yixin Chen; Yi Han; Kailong Deng

doi:10.1080/21680566.2024.2440589

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An improved hybrid model for vehicle trajectory prediction considering spatiotemporal interactions

Zhishun Zhang Ting Xu Jiehan Zhou Yixin Chen Yi Han Kailong Deng

Year: 2024 Journal: Transportmetrica B Transport Dynamics Vol: 13 (1) Publisher: Taylor & Francis

DOI: 10.1080/21680566.2024.2440589

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Keywords:

Computer science Trajectory Hyperparameter Artificial intelligence Convolutional neural network Estimator Machine learning Feature (linguistics) Tree (set theory) Curse of dimensionality Mathematics

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Autonomous Vehicle Technology and Safety

Physical Sciences → Engineering → Automotive Engineering

Traffic Prediction and Management Techniques

Physical Sciences → Engineering → Building and Construction

Traffic and Road Safety

Physical Sciences → Engineering → Safety, Risk, Reliability and Quality

An improved hybrid model for vehicle trajectory prediction considering spatiotemporal interactions

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