General Semantic Knowledge Infusion for Spatio-Temporal Traffic Forecasting
The results show that integrating data from general-purpose knowledge graphs and sensor networks through data fusion can enhance the prediction accuracy of traffic forecasting models, and offers a potential pathway toward improved interpretability.
Mattis thor Straten, Yannick Wölker, Steffen Strohm et al.
· International Conference on... · 0 citations