2 citations · 3 across the 4 of their papers we have counts for
4 papers
ST-RetNet: A Long-term Spatial-Temporal Traffic Flow Prediction Method
Baichao Long, Wang Zhu, Jianli Xiao
Traffic flow forecasting is considered a critical task in the field of intelligent transportation systems. In this paper, to address the issue of low accuracy in long-term forecast…
A Hybrid Model for Traffic Incident Detection based on Generative Adversarial Networks and Transformer Model
Xinying Lu, Doudou Zhang, Jianli Xiao
In addition to enhancing traffic safety and facilitating prompt emergency response, traffic incident detection plays an indispensable role in intelligent transportation systems by…
Hybrid Transformer and Spatial-Temporal Self-Supervised Learning for Long-term Traffic Prediction
Wang Zhu, Doudou Zhang, Baichao Long +1
Long-term traffic prediction has always been a challenging task due to its dynamic temporal dependencies and complex spatial dependencies. In this paper, we propose a model that co…
A New Method for Vehicle Logo Recognition Based on Swin Transformer
Yang Li, Doudou Zhang, Jianli Xiao
Intelligent Transportation Systems (ITS) utilize sensors, cameras, and big data analysis to monitor real-time traffic conditions, aiming to improve traffic efficiency and safety. A…