Cover Image

Graph Attention Network for Lane-Wise and Topology-Invariant Intersection Traffic Simulation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yousefzadeh, Nooshin, Sengupta, Rahul, Karnati, Yashaswi, Rangarajan, Anand, Ranka, Sanjay
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MTDT: A Multi-Task Deep Learning Digital Twin
by: Yousefzadeh, Nooshin, et al.
Published: (2024)

Enactor: From Traffic Simulators to Surrogate World Models
by: Ranjan, Yash, et al.
Published: (2026)

IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections
by: Ranjan, Yash, et al.
Published: (2025)

Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads
by: Yousefzadeh, Nooshin, et al.
Published: (2024)

Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics
by: Ranjan, Yash, et al.
Published: (2025)

TGDT: A Temporal Graph-based Digital Twin for Urban Traffic Corridors
by: Yousefzadeh, Nooshin, et al.
Published: (2025)

BigSUMO: A Scalable Framework for Big Data Traffic Analytics and Parallel Simulation
by: Sengupta, Rahul, et al.
Published: (2026)

Attention Based Machine Learning Methods for Data Reduction with Guaranteed Error Bounds
by: Li, Xiao, et al.
Published: (2024)

Foundation Model for Lossy Compression of Spatiotemporal Scientific Data
by: Li, Xiao, et al.
Published: (2024)

Mechanistic Interpretability of Fine-Tuned Vision Transformers on Distorted Images: Decoding Attention Head Behavior for Transparent and Trustworthy AI
by: Bahador, Nooshin
Published: (2025)

Generative Latent Diffusion for Efficient Spatiotemporal Data Reduction
by: Li, Xiao, et al.
Published: (2025)

Unifying Lane-Level Traffic Prediction from a Graph Structural Perspective: Benchmark and Baseline
by: Li, Shuhao, et al.
Published: (2024)

Guaranteed Conditional Diffusion: 3D Block-based Models for Scientific Data Compression
by: Lee, Jaemoon, et al.
Published: (2025)

Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction
by: Miao, Hao, et al.
Published: (2024)

Localized Definitions and Distributed Reasoning: A Proof-of-Concept Mechanistic Interpretability Study via Activation Patching
by: Bahador, Nooshin
Published: (2025)

STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting
by: Liang, Zhuding, et al.
Published: (2025)

Optimizing Multi-Lane Intersection Performance in Mixed Autonomy Environments
by: Sekar, Manonmani, et al.
Published: (2025)

A Joint Topology-Data Fusion Graph Network for Robust Traffic Speed Prediction with Data Anomalism
by: Jiang, Ruiyuan, et al.
Published: (2025)

GSINA: Improving Subgraph Extraction for Graph Invariant Learning via Graph Sinkhorn Attention
by: Yan, Junchi, et al.
Published: (2024)

Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem
by: Zhang, Cong, et al.
Published: (2024)

Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis
by: Liu, Zhe, et al.
Published: (2024)

Semi-Supervised Anomaly Detection Pipeline for SOZ Localization Using Ictal-Related Chirp
by: Bahador, Nooshin, et al.
Published: (2025)

MA2GCN: Multi Adjacency relationship Attention Graph Convolutional Networks for Traffic Prediction using Trajectory data
by: Sun, Zhengke, et al.
Published: (2024)

Graph-Conditioned Mixture of Graph Neural Network Experts for Traffic Forecasting
by: Ghaffari, Amirhossein, et al.
Published: (2026)

Performance Comparison of Deep RL Algorithms for Mixed Traffic Cooperative Lane-Changing
by: Yao, Xue, et al.
Published: (2024)

Network-Wide Traffic Volume Estimation from Speed Profiles using a Spatio-Temporal Graph Neural Network with Directed Spatial Attention
by: Hein, Léo, et al.
Published: (2025)

Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction
by: Zhou, Yicheng, et al.
Published: (2024)

COPYCOP: Ownership Verification for Graph Neural Networks
by: Nandakumar, Rahul, et al.
Published: (2026)

MHGNet: Multi-Heterogeneous Graph Neural Network for Traffic Prediction
by: Wu, Mei, et al.
Published: (2025)

Permutation-Invariant Graph Partitioning:How Graph Neural Networks Capture Structural Interactions?
by: Hevapathige, Asela, et al.
Published: (2023)

STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction
by: Luo, Xunlian, et al.
Published: (2023)

GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks
by: Fu, Xingbo, et al.
Published: (2025)

Flash Invariant Point Attention
by: Liu, Andrew, et al.
Published: (2025)

Revolutionizing TCAD Simulations with Universal Device Encoding and Graph Attention Networks
by: Fan, Guangxi, et al.
Published: (2023)

TemporalBench: A Benchmark for Evaluating LLM-Based Agents on Contextual and Event-Informed Time Series Tasks
by: Weng, Muyan, et al.
Published: (2026)

Knowledge Distillation on Spatial-Temporal Graph Convolutional Network for Traffic Prediction
by: Izadi, Mohammad, et al.
Published: (2024)

Spatial-Temporal Interactive Dynamic Graph Convolution Network for Traffic Forecasting
by: Liu, Aoyu, et al.
Published: (2022)

Tensor-view Topological Graph Neural Network
by: Wen, Tao, et al.
Published: (2024)

MEGAN: Multi-Explanation Graph Attention Network
by: Teufel, Jonas, et al.
Published: (2022)

Nemotron-Flash: Towards Latency-Optimal Hybrid Small Language Models
by: Fu, Yonggan, et al.
Published: (2025)