Traffic Prediction using Artificial Intelligence: Review of Recent Advances and Emerging Opportunities

31 May 2023

Papers citing "Traffic Prediction using Artificial Intelligence: Review of Recent Advances and Emerging Opportunities"

6 / 6 papers shown

Title
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 75 1 0 21 Jan 2025
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook Ming Jin Qingsong Wen Yuxuan Liang Chaoli Zhang Siqiao Xue ... Shirui Pan Vincent S. Tseng Yu Zheng Lei Chen Hui Xiong AI4TS SyDa 33 117 0 16 Oct 2023
Aggregated Zero-knowledge Proof and Blockchain-Empowered Authentication for Autonomous Truck Platooning Wanxin Li Collin Meese Hao Guo Mark M. Nejad 19 13 0 31 May 2023
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting Longyuan Li Junchi Yan Xiaokang Yang Yaohui Jin OOD BDL AI4TS 37 60 0 31 Jan 2021
Incorporating dynamicity of transportation network with multi-weight traffic graph convolutional network for traffic forecasting Y. Shin Yoonjin Yoon AI4TS 40 57 0 16 Sep 2019
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 227 7,903 0 13 Jun 2015