Spatio-Temporal Dual Graph Neural Networks for Travel Time Estimation

Understand

Travel time estimation is one of the core tasks for the development of intelligent transportation systems.

• Most previous works model the road segments or intersections separately by learning their spatio-temporal characteristics to estimate travel time.
• However, due to the continuous alternations of the road segments and intersections in a path, the dynamic features are supposed to be coupled and interactive.
• Therefore, modeling one of them limits further improvement in accuracy of estimating travel time.