Dynamic Graph AI Model Hits Nearly 96% Accuracy in Traffic Congestion Prediction
A new dynamic graph neural framework called GAMMA-Traffic updates road-network connections in real time using cross-correlation analysis, reporting up to ...
Tag: intelligent transportation systems
Diffusion Model Learns City Traffic from Cameras Without Any Trajectory Labels
A self-supervised diffusion model generates realistic, road-compliant vehicle trajectories using only aggregated surveillance camera statistics and road network topology, with ...
Potholes Predict Chaos: Machine Learning Fuses Pavement Data with Traffic Risk
A machine learning model that combines New York City pavement condition data with live traffic measurements substantially outperforms a traffic-only ...
Machine learning benchmark flags hidden misses in road-accident prediction
A controlled benchmark of six machine-learning classifiers on a synthetic road-accident dataset shows that the most accurate models still missed ...
Traffic congestion dominates a decade of research on predicting supply chain bottlenecks with real-time data
A bibliometric review of 3,638 Scopus-indexed publications from 2016 to 2025 finds that transport-level congestion prediction dominates the literature while ...
AI traffic system clears the road for ambulances in under 300 milliseconds
Researchers report an AI and IoT framework that detects ambulances with cameras and audio, achieving 98.4 percent accuracy and flipping ...
Simulated ‘Plug-and-Play’ Control Layer Cuts Fuel Use in Gasoline Vehicle Platoons
A simulation study reports that a plug-and-play supervisory control layer combining neuro-fuzzy tuning, model predictive control, and quantum-inspired prediction lowered ...
Multimodal detection of cyber-physical attacks against intelligent traffic signal controllers
A new simulation study presents GuardBox, a framework combining an LSTM autoencoder and random forest classifier to detect and attribute ...
TinyRoute pairs TinyML with few-shot learning to secure vehicular networks
A new framework called TinyRoute combines TinyML, reinforcement learning, and few-shot learning to achieve adaptive routing and zero-day attack detection ...
Mamba-based model tames noisy urban traffic prediction with frequency-domain filtering
A new spatiotemporal model called RoST-Mamba combines adaptive graph learning, frequency-domain filtering and graph-constrained state-space modeling to keep traffic forecasts ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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