A Novel Accident Duration Prediction Method Based on a Conditional Table Generative Adversarial Network and Transformer
Yongdong Wang,
Haonan Zhai,
Xianghong Cao
et al.
Abstract:The accurate duration prediction of road traffic accident is crucial for ensuring the safe and efficiency of transportation within social road networks. Such predictive capabilities provide significant support for informed decision-making by transportation administrators while also offering new technological support for the sustainable development of modern road networks. This study introduced a novel predictive model for road traffic accident duration, integrating a Conditional Table Generative Adversarial Ne… Show more
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