Network-Level Vehicle Delay Estimation at Heterogeneous Signalized Intersections
Fuente:
arXiv
Saved in:
| Main Authors: | Ma, Xiaobo, Noh, Hyunsoo, Tokishi, James, Hatch, Ryan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Domain Adaptation Framework for Turning Movement Count Estimation with Limited Data
by: Ma, Xiaobo, et al.
Published: (2025)
by: Ma, Xiaobo, et al.
Published: (2025)
Data-Driven Transfer Learning Framework for Estimating Turning Movement Counts
by: Ma, Xiaobo, et al.
Published: (2024)
by: Ma, Xiaobo, et al.
Published: (2024)
KI-GAN: Knowledge-Informed Generative Adversarial Networks for Enhanced Multi-Vehicle Trajectory Forecasting at Signalized Intersections
by: Wei, Chuheng, et al.
Published: (2024)
by: Wei, Chuheng, et al.
Published: (2024)
IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections
by: Ranjan, Yash, et al.
Published: (2025)
by: Ranjan, Yash, et al.
Published: (2025)
Large Multimodal Models-Empowered Task-Oriented Autonomous Communications: Design Methodology and Implementation Challenges
by: Yang, Hyun Jong, et al.
Published: (2025)
by: Yang, Hyun Jong, et al.
Published: (2025)
SAPI: Surroundings-Aware Vehicle Trajectory Prediction at Intersections
by: Zhang, Ethan, et al.
Published: (2023)
by: Zhang, Ethan, et al.
Published: (2023)
Vehicle-as-Prompt: A Unified Deep Reinforcement Learning Framework for Heterogeneous Fleet Vehicle Routing Problem
by: Huang, Shihong, et al.
Published: (2026)
by: Huang, Shihong, et al.
Published: (2026)
Hierarchical Flow Decomposition for Turning Movement Prediction at Signalized Intersections
by: Mallick, Md Atiqur Rahman, et al.
Published: (2026)
by: Mallick, Md Atiqur Rahman, et al.
Published: (2026)
MC-INR: Efficient Encoding of Multivariate Scientific Simulation Data using Meta-Learning and Clustered Implicit Neural Representations
by: Son, Hyunsoo, et al.
Published: (2025)
by: Son, Hyunsoo, et al.
Published: (2025)
Prospective Messaging: Learning in Networks with Communication Delays
by: Fayyazi, Ryan, et al.
Published: (2024)
by: Fayyazi, Ryan, et al.
Published: (2024)
Unveiling Imitation Learning: Exploring the Impact of Data Falsity to Large Language Model
by: Cho, Hyunsoo
Published: (2024)
by: Cho, Hyunsoo
Published: (2024)
Edge-Assisted ML-Aided Uncertainty-Aware Vehicle Collision Avoidance at Urban Intersections
by: Selvaraj, Dinesh Cyril, et al.
Published: (2024)
by: Selvaraj, Dinesh Cyril, et al.
Published: (2024)
Autonomous Vehicle Decision-Making Framework for Considering Malicious Behavior at Unsignalized Intersections
by: Li, Qing, et al.
Published: (2024)
by: Li, Qing, et al.
Published: (2024)
Estimating Heterogeneous Causal Effect on Networks via Orthogonal Learning
by: Wu, Yuanchen, et al.
Published: (2025)
by: Wu, Yuanchen, et al.
Published: (2025)
Solving Time-Fractional Partial Integro-Differential Equations Using Tensor Neural Network
by: Lin, Zhongshuo, et al.
Published: (2025)
by: Lin, Zhongshuo, et al.
Published: (2025)
Guiding Generative Models to Uncover Diverse and Novel Crystals via Reinforcement Learning
by: Park, Hyunsoo, et al.
Published: (2025)
by: Park, Hyunsoo, et al.
Published: (2025)
MahaVar: OOD Detection via Class-wise Mahalanobis Distance Variance under Neural Collapse
by: Kim, Donghwan, et al.
Published: (2026)
by: Kim, Donghwan, et al.
Published: (2026)
Mitigating the Likelihood Paradox in Flow-based OOD Detection via Entropy Manipulation
by: Kim, Donghwan, et al.
Published: (2026)
by: Kim, Donghwan, et al.
Published: (2026)
A Multi-Graph Convolutional Neural Network Model for Short-Term Prediction of Turning Movements at Signalized Intersections
by: Palit, Jewel Rana, et al.
Published: (2024)
by: Palit, Jewel Rana, et al.
Published: (2024)
Dual-Delayed Asynchronous SGD for Arbitrarily Heterogeneous Data
by: Wang, Xiaolu, et al.
Published: (2024)
by: Wang, Xiaolu, et al.
Published: (2024)
Binary Expansion Group Intersection Network
by: Zhou, Sicheng, et al.
Published: (2026)
by: Zhou, Sicheng, et al.
Published: (2026)
Graph-Driven Models for Gas Mixture Identification and Concentration Estimation on Heterogeneous Sensor Array Signals
by: Wang, Ding, et al.
Published: (2024)
by: Wang, Ding, et al.
Published: (2024)
The Impact Analysis of Delays in Asynchronous Federated Learning with Data Heterogeneity for Edge Intelligence
by: Hao, Ziruo, et al.
Published: (2025)
by: Hao, Ziruo, et al.
Published: (2025)
NAPS: Attention-Based Fusion of Heterogeneous Physiological Signals
by: Rossi, Alvise Dei, et al.
Published: (2025)
by: Rossi, Alvise Dei, et al.
Published: (2025)
Parameter-efficient Bayesian Neural Networks for Uncertainty-aware Depth Estimation
by: Paul, Richard D., et al.
Published: (2024)
by: Paul, Richard D., et al.
Published: (2024)
Learning to Control and Coordinate Mixed Traffic Through Robot Vehicles at Complex and Unsignalized Intersections
by: Wang, Dawei, et al.
Published: (2023)
by: Wang, Dawei, et al.
Published: (2023)
Generative Models and Connected and Automated Vehicles: A Survey in Exploring the Intersection of Transportation and AI
by: Shu, Bo, et al.
Published: (2024)
by: Shu, Bo, et al.
Published: (2024)
A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection
by: Jiang, Laura, et al.
Published: (2025)
by: Jiang, Laura, et al.
Published: (2025)
Enabling Delayed-Full Charging Through Transformer-Based Real-Time-to-Departure Modeling for EV Battery Longevity
by: Lee, Yonggeon, et al.
Published: (2025)
by: Lee, Yonggeon, et al.
Published: (2025)
TrafficGPT: Breaking the Token Barrier for Efficient Long Traffic Analysis and Generation
by: Qu, Jian, et al.
Published: (2024)
by: Qu, Jian, et al.
Published: (2024)
On the Intersection of Signal Processing and Machine Learning: A Use Case-Driven Analysis Approach
by: Aburakhia, Sulaiman, et al.
Published: (2024)
by: Aburakhia, Sulaiman, et al.
Published: (2024)
Enhanced Pre-training of Graph Neural Networks for Million-Scale Heterogeneous Graphs
by: Sun, Shengyin, et al.
Published: (2025)
by: Sun, Shengyin, et al.
Published: (2025)
Ctx2TrajGen: Traffic Context-Aware Microscale Vehicle Trajectories using Generative Adversarial Imitation Learning
by: Jin, Joobin, et al.
Published: (2025)
by: Jin, Joobin, et al.
Published: (2025)
Analysis of Asynchronous Federated Learning: Unraveling the Interactions between Gradient Compression, Delay, and Data Heterogeneity
by: Yang, Diying, et al.
Published: (2025)
by: Yang, Diying, et al.
Published: (2025)
Energy Estimation of Last Mile Electric Vehicle Routes
by: Snoeck, André, et al.
Published: (2024)
by: Snoeck, André, et al.
Published: (2024)
Estimating City-wide Operating Mode Distribution of Light-Duty Vehicles: A Neural Network-based Approach
by: Usama, Muhammad, et al.
Published: (2025)
by: Usama, Muhammad, et al.
Published: (2025)
Reliable Selection of Heterogeneous Treatment Effect Estimators
by: Guo, Jiayi, et al.
Published: (2025)
by: Guo, Jiayi, et al.
Published: (2025)
Federated Learning for Estimating Heterogeneous Treatment Effects
by: Makhija, Disha, et al.
Published: (2024)
by: Makhija, Disha, et al.
Published: (2024)
Why the Counterintuitive Phenomenon of Likelihood Rarely Appears in Tabular Anomaly Detection with Deep Generative Models?
by: Kim, Donghwan, et al.
Published: (2026)
by: Kim, Donghwan, et al.
Published: (2026)
A New Causal Rule Learning Approach to Interpretable Estimation of Heterogeneous Treatment Effect
by: Wu, Ying, et al.
Published: (2023)
by: Wu, Ying, et al.
Published: (2023)
Similar Items
-
Domain Adaptation Framework for Turning Movement Count Estimation with Limited Data
by: Ma, Xiaobo, et al.
Published: (2025) -
Data-Driven Transfer Learning Framework for Estimating Turning Movement Counts
by: Ma, Xiaobo, et al.
Published: (2024) -
KI-GAN: Knowledge-Informed Generative Adversarial Networks for Enhanced Multi-Vehicle Trajectory Forecasting at Signalized Intersections
by: Wei, Chuheng, et al.
Published: (2024) -
IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections
by: Ranjan, Yash, et al.
Published: (2025) -
Large Multimodal Models-Empowered Task-Oriented Autonomous Communications: Design Methodology and Implementation Challenges
by: Yang, Hyun Jong, et al.
Published: (2025)