3 papers
cs.LG2024
FPMT: Enhanced Semi-Supervised Model for Traffic Incident Detection
Xinying Lu, Jianli Xiao
For traffic incident detection, the acquisition of data and labels is notably resource-intensive, rendering semi-supervised traffic incident detection both a formidable and consequ…
cs.LG2024
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…
cs.AI2024
A Multi-Channel Spatial-Temporal Transformer Model for Traffic Flow Forecasting
Jianli Xiao, Baichao Long
Traffic flow forecasting is a crucial task in transportation management and planning. The main challenges for traffic flow forecasting are that (1) as the length of prediction time…