Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks

1 code implementation • 7 Mar 2023 • Qingyi Wang, Shenhao Wang, Dingyi Zhuang, Haris Koutsopoulos, Jinhua Zhao

This Prob-GNN framework is substantiated by deterministic and probabilistic assumptions, and empirically applied to the task of predicting the transit and ridesharing demand in Chicago.

Uncertainty Quantification