Towards better traffic volume estimation: Jointly addressing the
underdetermination and nonequilibrium problems with correlation-adaptive GNNs

Towards better traffic volume estimation: Jointly addressing the underdetermination and nonequilibrium problems with correlation-adaptive GNNs

10 March 2023

Tong Nie

Papers citing "Towards better traffic volume estimation: Jointly addressing the underdetermination and nonequilibrium problems with correlation-adaptive GNNs"

8 / 8 papers shown

Title
Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Qishen Zhou Yifan Zhang Michail A. Makridis Anastasios Kouvelas Yibing Wang Simon Hu 57 0 0 20 Mar 2025
Calibration of Vehicular Traffic Simulation Models by Local Optimization Davide Andrea Guastella Alejandro Morales-Hernàndez Bruno Cornelis Gianluca Bontempi 38 0 0 17 Feb 2025
MoGERNN: An Inductive Traffic Predictor for Unobserved Locations in Dynamic Sensing Networks Qishen Zhou Yifan Zhang Michail A. Makridis Anastasios Kouvelas Yibing Wang Simon Hu AI4TS 85 1 0 21 Jan 2025
Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach Tong Nie Junlin He Yuewen Mei Guoyang Qin Guilong Li Jian Sun Wei Ma 45 3 0 30 Aug 2024
Spatiotemporal Implicit Neural Representation as a Generalized Traffic Data Learner Tong Nie Guoyang Qin Wei Ma Jiangming Sun 28 8 0 06 May 2024
ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation Tong Nie Guoyang Qin Wei Ma Yuewen Mei Jiangming Sun AI4TS AI4CE 29 25 0 04 Dec 2023
Truncated tensor Schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns Tong Nie Guoyang Qin Jian Sun 37 49 0 19 May 2022
Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging Yuankai Wu Dingyi Zhuang Mengying Lei A. Labbe Lijun Sun AI4TS 40 25 0 24 Sep 2021