Uncertainty Quantification of Spatiotemporal Travel Demand with
Probabilistic Graph Neural Networks

Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks

7 March 2023

Shenhao Wang

Haris N. Koutsopoulos

Papers citing "Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks"

11 / 11 papers shown

Title
Towards Anthropomorphic Conversational AI Part I: A Practical Framework Fei Wei Yaliang Li Bolin Ding 49 0 0 28 Feb 2025
Independent Mobility GPT (IDM-GPT): A Self-Supervised Multi-Agent Large Language Model Framework for Customized Traffic Mobility Analysis Using Machine Learning Models Fengze Yang Xiaoyue Cathy Liu Lingjiu Lu Bingzhang Wang Chenxi 45 0 0 25 Feb 2025
Advancing Transportation Mode Share Analysis with Built Environment: Deep Hybrid Models with Urban Road Network Dingyi Zhuang Qingyi Wang Yunhan Zheng Xiaotong Guo Shenhao Wang Haris N. Koutsopoulos Jinhua Zhao 24 0 0 23 May 2024
Uncertainty in Graph Neural Networks: A Survey Fangxin Wang Yuqing Liu Kay Liu Yibo Wang Sourav Medya Philip S. Yu AI4CE 53 8 0 11 Mar 2024
Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System Xiaotong Guo Hanyong Xu Dingyi Zhuang Yunhan Zheng Jinhua Zhao 28 5 0 29 Dec 2023
Uncertainty-aware Traffic Prediction under Missing Data Hao Mei Junxian Li Zhiming Liang Guanjie Zheng Bin Shi Hua Wei EDL 32 6 0 13 Sep 2023
Uncertainty-Aware Probabilistic Graph Neural Networks for Road-Level Traffic Accident Prediction Xiaowei Gao Xinke Jiang Dingyi Zhuang Huanfa Chen Shenhao Wang Stephen Law James Haworth 25 7 0 10 Sep 2023
Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction Xinke Jiang Dingyi Zhuang Xianghui Zhang Hao Chen Jiayuan Luo Xiaowei Gao 26 21 0 16 Jun 2023
ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks Zepu Wang Dingyi Zhuang Yankai Li Jinhua Zhao Peng Sun Shenhao Wang Yulin Hu GNN AI4TS 42 15 0 10 May 2023
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 278 5,695 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 289 9,167 0 06 Jun 2015