Graph Neural Network Approach to Predict the Effects of Road Capacity Reduction Policies: A Case Study for Paris, France
Fuente:
arXiv
Saved in:
| Main Authors: | Natterer, Elena, Engelhardt, Roman, Hörl, Sebastian, Bogenberger, Klaus |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Machine Learning Surrogates for Optimizing Transportation Policies with Agent-Based Models
by: Natterer, Elena, et al.
Published: (2025)
by: Natterer, Elena, et al.
Published: (2025)
Effects of the Plan Vélo I and II on vehicular flow in Paris -- An Empirical Analysis
by: Natterer, Elena, et al.
Published: (2024)
by: Natterer, Elena, et al.
Published: (2024)
A Generative Adversarial Graph Neural Network for Synthetic Time Series Data
by: Gregnanin, Marco, et al.
Published: (2026)
by: Gregnanin, Marco, et al.
Published: (2026)
The Statistical Significance of the Inclusion of Graph Neural Networks in the Financial Time Series Forecasting Problem
by: Gregnanin, Marco, et al.
Published: (2026)
by: Gregnanin, Marco, et al.
Published: (2026)
Distance between Road Networks: A Macroscopic Method for Road Network Datasets Comparison Using Traffic-weighted Geographic Distribution
by: Zhong, Hengyi, et al.
Published: (2026)
by: Zhong, Hengyi, et al.
Published: (2026)
Four Guiding Principles for Modeling Causal Domain Knowledge: A Case Study on Brainstorming Approaches for Urban Blight Analysis
by: Razouk, Houssam, et al.
Published: (2024)
by: Razouk, Houssam, et al.
Published: (2024)
Networked Markets, Fragmented Data: Adaptive Graph Learning for Customer Risk Analytics and Policy Design
by: Zheng, Lecheng, et al.
Published: (2025)
by: Zheng, Lecheng, et al.
Published: (2025)
Modal-adaptive Knowledge-enhanced Graph-based Financial Prediction from Monetary Policy Conference Calls with LLM
by: Ouyang, Kun, et al.
Published: (2024)
by: Ouyang, Kun, et al.
Published: (2024)
GRAPPA -- A Hybrid Graph Neural Network for Predicting Pure Component Vapor Pressures
by: Hoffmann, Marco, et al.
Published: (2025)
by: Hoffmann, Marco, et al.
Published: (2025)
Superstructure Optimization with Embedded Neural Networks for Sustainable Aviation Fuel Production
by: Klimek, Alexander, et al.
Published: (2025)
by: Klimek, Alexander, et al.
Published: (2025)
Graph Neural Network-Based Topology Optimization for Self-Supporting Structures in Additive Manufacturing
by: Tabarraei, Alireza, et al.
Published: (2025)
by: Tabarraei, Alireza, et al.
Published: (2025)
An Analytics-Driven Approach to Enhancing Supply Chain Visibility with Graph Neural Networks and Federated Learning
by: Zheng, Ge, et al.
Published: (2025)
by: Zheng, Ge, et al.
Published: (2025)
A Hybrid Neural Network Model For Predicting The Nitrate Concentration In The Recirculating Aquaculture System
by: Fan, Xiangyu, et al.
Published: (2024)
by: Fan, Xiangyu, et al.
Published: (2024)
Enhancing Accuracy and Efficiency in Calibration of Drinking Water Distribution Networks Through Evolutionary Artificial Neural Networks and Expert Systems
by: Gomez, Cristian, et al.
Published: (2024)
by: Gomez, Cristian, et al.
Published: (2024)
Transfer-learned Kolosov-Muskhelishvili Informed Neural Networks for Fracture Mechanics
by: Zhou, Shuwei, et al.
Published: (2026)
by: Zhou, Shuwei, et al.
Published: (2026)
A Physics-Enforced Neural Network to Predict Polymer Melt Viscosity
by: Jain, Ayush, et al.
Published: (2024)
by: Jain, Ayush, et al.
Published: (2024)
Using Graph Neural Networks and Frequency Domain Data for Automated Operational Modal Analysis of Populations of Structures
by: Jian, Xudong, et al.
Published: (2024)
by: Jian, Xudong, et al.
Published: (2024)
Temperature Distribution Prediction in Laser Powder Bed Fusion using Transferable and Scalable Graph Neural Networks
by: Raut, Riddhiman, et al.
Published: (2024)
by: Raut, Riddhiman, et al.
Published: (2024)
Enhancing Supply Chain Visibility with Generative AI: An Exploratory Case Study on Relationship Prediction in Knowledge Graphs
by: Zheng, Ge, et al.
Published: (2024)
by: Zheng, Ge, et al.
Published: (2024)
RoadFed: A Multimodal Federated Learning System for Improving Road Safety
by: Yuan, Yachao, et al.
Published: (2025)
by: Yuan, Yachao, et al.
Published: (2025)
Graph-Network-Based Predictive Modeling for Highly Cross-Linked Polymer Systems
by: Lee, Wonseok, et al.
Published: (2023)
by: Lee, Wonseok, et al.
Published: (2023)
Amalgamation of Physics-Informed Neural Network and LBM for the Prediction of Unsteady Fluid Flows in Fractal-Rough Microchannels
by: Meshram, Ganesh Sahadeo, et al.
Published: (2026)
by: Meshram, Ganesh Sahadeo, et al.
Published: (2026)
Rapid Estimation of Left Ventricular Contractility with a Physics-Informed Neural Network Inverse Modeling Approach
by: Naghavi, Ehsan, et al.
Published: (2024)
by: Naghavi, Ehsan, et al.
Published: (2024)
RoadBench: A Vision-Language Foundation Model and Benchmark for Road Damage Understanding
by: Xiao, Xi, et al.
Published: (2025)
by: Xiao, Xi, et al.
Published: (2025)
Predicting Gas Well Performance with Decline Curve Analysis: A Case Study on Semutang Gas Field
by: Rahaman, Md. Shakil, et al.
Published: (2025)
by: Rahaman, Md. Shakil, et al.
Published: (2025)
Bi-Level Chaotic Fusion Based Graph Convolutional Network for Stock Market Prediction Interval
by: Kandimalla, Eshwar Sai, et al.
Published: (2026)
by: Kandimalla, Eshwar Sai, et al.
Published: (2026)
Constitutive Manifold Neural Networks
by: Schuttert, Wouter J., et al.
Published: (2025)
by: Schuttert, Wouter J., et al.
Published: (2025)
Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction
by: Zhang, Zeyang, et al.
Published: (2023)
by: Zhang, Zeyang, et al.
Published: (2023)
Evaluating Transit Accessibility to Education and Effects of Operational Delays in Japanese Regional Cities: A Case Study of Matsumoto City
by: Sato, Itsuki, et al.
Published: (2026)
by: Sato, Itsuki, et al.
Published: (2026)
Default Resilience and Worst-Case Effects in Financial Networks
by: Calafiore, Giuseppe, et al.
Published: (2024)
by: Calafiore, Giuseppe, et al.
Published: (2024)
Multi-Grid Graph Neural Networks with Self-Attention for Computational Mechanics
by: Garnier, Paul, et al.
Published: (2024)
by: Garnier, Paul, et al.
Published: (2024)
Spatio-Temporal Attention Graph Neural Network: Explaining Causalities With Attention
by: Koistinen, Kosti, et al.
Published: (2026)
by: Koistinen, Kosti, et al.
Published: (2026)
Bilateral Trade Flow Prediction by Gravity-informed Graph Auto-encoder
by: Minakawa, Naoto, et al.
Published: (2024)
by: Minakawa, Naoto, et al.
Published: (2024)
Physics-Inspired Spatial Temporal Graph Neural Networks for Predicting Industrial Chain Resilience
by: Wang, Bicheng, et al.
Published: (2025)
by: Wang, Bicheng, et al.
Published: (2025)
CHAT: Beyond Contrastive Graph Transformer for Link Prediction in Heterogeneous Networks
by: Zhang, Shengming, et al.
Published: (2025)
by: Zhang, Shengming, et al.
Published: (2025)
Brain-Inspired Physics-Informed Neural Networks: Bare-Minimum Neural Architectures for PDE Solvers
by: Markidis, Stefano
Published: (2024)
by: Markidis, Stefano
Published: (2024)
S$^{3}$G: Stock State Space Graph for Enhanced Stock Trend Prediction
by: Lu, Yao, et al.
Published: (2026)
by: Lu, Yao, et al.
Published: (2026)
GrifFinNet: A Graph-Relation Integrated Transformer for Financial Predictions
by: Dai, Chenlanhui, et al.
Published: (2025)
by: Dai, Chenlanhui, et al.
Published: (2025)
Graph Neural Network-Based Predictive Modeling for Robotic Plaster Printing
by: Rivera, Diego Machain, et al.
Published: (2025)
by: Rivera, Diego Machain, et al.
Published: (2025)
Learning to Control PDEs with Differentiable Predictive Control and Time-Integrated Neural Operators
by: Sarkar, Dibakar Roy, et al.
Published: (2025)
by: Sarkar, Dibakar Roy, et al.
Published: (2025)
Similar Items
-
Machine Learning Surrogates for Optimizing Transportation Policies with Agent-Based Models
by: Natterer, Elena, et al.
Published: (2025) -
Effects of the Plan Vélo I and II on vehicular flow in Paris -- An Empirical Analysis
by: Natterer, Elena, et al.
Published: (2024) -
A Generative Adversarial Graph Neural Network for Synthetic Time Series Data
by: Gregnanin, Marco, et al.
Published: (2026) -
The Statistical Significance of the Inclusion of Graph Neural Networks in the Financial Time Series Forecasting Problem
by: Gregnanin, Marco, et al.
Published: (2026) -
Distance between Road Networks: A Macroscopic Method for Road Network Datasets Comparison Using Traffic-weighted Geographic Distribution
by: Zhong, Hengyi, et al.
Published: (2026)