Copertina

BigSUMO: A Scalable Framework for Big Data Traffic Analytics and Parallel Simulation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Sengupta, Rahul, Yousefzadeh, Nooshin, Sanghvi, Manav, Ranjan, Yash, Rangarajan, Anand, Ranka, Sanjay, Karnati, Yashaswi, Dilmore, Jeremy, Patel, Tushar, Casburn, Ryan
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Distributed, Parallel, and Cluster Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Graph Attention Network for Lane-Wise and Topology-Invariant Intersection Traffic Simulation
di: Yousefzadeh, Nooshin, et al.
Pubblicazione: (2024)

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

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

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

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

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

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

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

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

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

Measuring Braking Behavior Using Vehicle Tracking and Camera-to-Satellite Homography Rectification
di: Fleischer, J. P., et al.
Pubblicazione: (2026)

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

Machine Learning Techniques for Data Reduction of Climate Applications
di: Li, Xiao, et al.
Pubblicazione: (2024)

Video-based Pedestrian and Vehicle Traffic Analysis During Football Games
di: Fleischer, Jacques P., et al.
Pubblicazione: (2024)

Big Data Analytics
Pubblicazione: (2017)

Traffic Modeling with SUMO: a Tutorial
di: Guastella, Davide Andrea, et al.
Pubblicazione: (2023)

sumoITScontrol: Traffic Controller Collection for SUMO Traffic Simulations
di: Riehl, Kevin, et al.
Pubblicazione: (2026)

Machine Learning Techniques for Data Reduction of CFD Applications
di: Lee, Jaemoon, et al.
Pubblicazione: (2024)

Big Data Mining and Analytics
Pubblicazione: (2022)

Big Data Architecture for Large Organizations
di: Ismail, Fathima Nuzla, et al.
Pubblicazione: (2025)

VoiceDoc: A Voice-Activated Intelligent Document Assistant Using Advanced RAG Technology
di: Patel, Manav
Pubblicazione: (2026)

Big Help or Big Brother? Auditing Tracking, Profiling, and Personalization in Generative AI Assistants
di: Vekaria, Yash, et al.
Pubblicazione: (2025)

Librarian/Faculty Interaction at Nine New England Colleges.
di: Dilmore, Donald H.
Pubblicazione: (1996)

SiDGen: Structure-informed Diffusion for Generative modeling of Ligands for Proteins
di: Sanghvi, Samyak, et al.
Pubblicazione: (2025)

Big Data (R)evolution in Geography: Complexity Modelling in the Last Two Decades
di: Liliana Perez, et al.
Pubblicazione: (2024)

From RISC-V Cores to Neuromorphic Arrays: A Tutorial on Building Scalable Digital Neuromorphic Processors
di: Yousefzadeh, Amirreza
Pubblicazione: (2025)

Systematic Benchmarking of SUMO Against Data-Driven Traffic Simulators
di: Liang, Erdao
Pubblicazione: (2025)

Big Data Analytics for Education: Hadoop and Spark
di: Garcia, J. R., et al.
Pubblicazione: (2017)

Superior Parallel Big Data Clustering through Competitive Stochastic Sample Size Optimization in Big-means
di: Mussabayev, Rustam, et al.
Pubblicazione: (2024)

Theories of the Big Bang, Big Crunch, and Big Bounce
di: Kim, SungKun
Pubblicazione: (2026)

A General Framework for Error-controlled Unstructured Scientific Data Compression
di: Gong, Qian, et al.
Pubblicazione: (2025)

Explainable AI in Big Data Fraud Detection
di: Jain, Ayush, et al.
Pubblicazione: (2025)

A Review on Efficient and Scalable Graph‐Based Clustering Algorithms for Protein Complex Identification in PPI Networks
di: Sabyasachi Patra, et al.
Pubblicazione: (2025)

Big Read, Big ROI
di: Dempsey, Beth
Pubblicazione: (2008)

Machine Learning & Big Data Analytics in the Cloud Environment
di: WIN KHANT, KO
Pubblicazione: (2026)

RETRACTION: Challenges and Opportunities of Big Data Analytics in Healthcare
Pubblicazione: (2025)

AI‐Driven Big Data Analytics for Mobile Healthcare
di: B. D. Parameshachari, et al.
Pubblicazione: (2024)

Big Gifts Call for Big Conversations
di: Megan Venzin
Pubblicazione: (2025)

Parallelization of the K-Means Algorithm with Applications to Big Data Clustering
di: Srivastava, Ashish, et al.
Pubblicazione: (2024)

Large Scale Multi-GPU Based Parallel Traffic Simulation for Accelerated Traffic Assignment and Propagation
di: Jiang, Xuan, et al.
Pubblicazione: (2024)