Traffic Forecasting

Traffic forecasting aims to predict future traffic conditions using historical data and potentially external factors, enabling efficient resource allocation and improved transportation management. Current research heavily utilizes deep learning, focusing on graph neural networks (GNNs) and transformers, often combined to leverage both spatial and temporal dependencies within road networks, with a growing emphasis on handling data heterogeneity, out-of-distribution scenarios, and limited sensor coverage. These advancements hold significant potential for improving urban planning, optimizing traffic flow, and enhancing the efficiency of intelligent transportation systems.

Papers

November 5, 2024

Mobility-based Traffic Forecasting in a Multimodal Transport System
Henock M. Mboko, Mouhamadou A.M.T. Balde, Babacar M. Ndiaye
Traffic Forecasting Mobility Management Mobility Data Traffic Efficiency Transportation Network Multimodal Network

October 30, 2024

Extralonger: Toward a Unified Perspective of Spatial-Temporal Factors for Extra-Long-Term Traffic Forecasting
Zhiwei Zhang, Shaojun E, Fandong Meng, Jie Zhou, Wenjuan Han
Spatio Temporal Future Reasoning Traffic Forecasting Intelligent Transportation System Unified View Prediction Horizon Automatic Coding Long Term Traffic Forecasting

October 28, 2024

Strada-LLM: Graph LLM for traffic prediction
Seyed Mohamad Moghadas, Yangxintong Lyu, Bruno Cornelis, Alexandre Alahi, Adrian Munteanu
LLM Based Traffic Prediction Traffic Forecasting Traffic Pattern LLM Graph

October 24, 2024

TEAM: Topological Evolution-aware Framework for Traffic Forecasting--Extended Version
Duc Kieu, Tung Kieu, Peng Han, Bin Yang, Christian S. Jensen, Bac Le
Traffic Forecasting Road Network Traffic Datasets Traffic Efficiency Evolving Graph

October 21, 2024

SSMT: Few-Shot Traffic Forecasting with Single Source Meta-Transfer
Kishor Kumar Bhaumik, Minha Kim, Fahim Faisal Niloy, Amin Ahsan Ali, Simon S. Woo
Traffic Prediction Traffic Forecasting Temporal Network Traffic Flow Forecasting Meta Transfer Cross City Few Shot

October 12, 2024

Fusion Matrix Prompt Enhanced Self-Attention Spatial-Temporal Interactive Traffic Forecasting Framework
Mu Liu, MingChen Sun YingJi Li, Ying Wang
Self Attention Traffic Forecasting Spatio Temporal Forecasting Temporal Traffic

October 1, 2024

August 20, 2024

Navigating Spatio-Temporal Heterogeneity: A Graph Transformer Approach for Traffic Forecasting
Jianxiang Zhou, Erdong Liu, Wei Chen, Siru Zhong, Yuxuan Liang
Graph Transformer Traffic Forecasting Temporal Correlation Traffic Datasets Temporal Traffic

August 17, 2024

Linear Attention is Enough in Spatial-Temporal Forecasting
Xinyu Ning
Traffic Forecasting Linear Attention Spatio Temporal Forecasting Spatial Temporal Graph Spatial Token

August 16, 2024

OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction
Zhonghang Li, Long Xia, Lei Shi, Yong Xu, Dawei Yin, Chao Huang
Traffic Prediction Traffic Forecasting Traffic Datasets Accurate Traffic Forecasting Geospatial Foundation Model

August 2, 2024

Spatio-Temporal Partial Sensing Forecast for Long-term Traffic
Zibo Liu, Zhe Jiang, Zelin Xu, Tingsong Xiao, Zhengkun Xiao, Haibo Wang, Shigang Chen
Traffic Prediction Traffic Forecasting Traffic Datasets

July 25, 2024

Context-aware knowledge graph framework for traffic speed forecasting using graph neural network
Yatao Zhang, Yi Wang, Song Gao, Martin Raubal
Neural Network Knowledge Graph Graph Drawing Traffic Forecasting Traffic Speed

July 17, 2024

Individualized Federated Learning for Traffic Prediction with Error Driven Aggregation
Hang Chen, Collin Meese, Mark Nejad, Chien-Chung Shen
Personalized Federated Learning Traffic Prediction Traffic Forecasting Traffic Management Traffic Network Traffic Pattern Robust Aggregation

July 5, 2024

Spatiotemporal Forecasting of Traffic Flow using Wavelet-based Temporal Attention
Yash Jakhmola, Madhurima Panja, Nitish Kumar Mishra, Kripabandhu Ghosh, Uttam Kumar, Tanujit Chakraborty
Traffic Forecasting Temporal Correlation Traffic Datasets Spatio Temporal Graph Spatio Temporal Forecasting Wavelet Attention

June 18, 2024

XXLTraffic: Expanding and Extremely Long Traffic Dataset for Ultra-Dynamic Forecasting Challenges
Du Yin, Hao Xue, Arian Prabowo, Shuang Ao, Flora Salim
Traffic Forecasting Traffic Datasets Linear Forecasting Traffic Forecasting Datasets

June 17, 2024

Deploying scalable traffic prediction models for efficient management in real-world large transportation networks during hurricane evacuations
Qinhua Jiang, Brian Yueshuai He, Changju Lee, Jiaqi Ma
High Efficiency Traffic Forecasting Traffic Network Hurricane Evacuation Traffic Speed Accurate Traffic Prediction Traffic Volume Prediction

June 5, 2024

Continual Traffic Forecasting via Mixture of Experts
Sanghyun Lee, Chanyoung Park
Mixture Component Expert Knowledge Traffic Forecasting Traffic Network Traffic Flow Forecasting Network Datasets Long Term Traffic Forecasting

June 4, 2024

Temporal Graph Learning Recurrent Neural Network for Traffic Forecasting
Sanghyun Lee, Chanyoung Park
Temporal Dependency Traffic Forecasting Road Network Temporal Correlation Traffic Flow Forecasting

May 8, 2024

RACH Traffic Prediction in Massive Machine Type Communications
Hossein Mehri, Hao Chen, Hani Mehrpouyan
Traffic Forecasting Traffic Pattern Massive Machine Type Communication