Study Evaluates Emerging Technologies and Challenges in Vehicular Driving Pattern Analysis
A review of 117 studies evaluates how machine learning and sensor fusion are applied to vehicular driving pattern analysis while ...
Tag: intelligent transportation systems
Deep Learning Models Transform Urban Traffic Volume Forecasting Across Global Road Networks
A systematic survey evaluates modern deep learning architectures and benchmark datasets for traffic volume prediction across recent transport studies.
Physics-Informed AI Converts Existing Fiber-Optic Cables Into Highway Traffic Sensors
Researchers have developed a physics-informed neural network that converts existing fiber-optic cables into highway traffic sensors by embedding flow equations ...
Vision-Language Models Predict Imminent Vehicle Collisions With Explainable Rationales
Researchers at Imperial College London have developed a vision-language framework designed to predict imminent vehicle collisions while generating natural-language explanations ...
Systematic review maps how 5G and 6G sensing could ease urban traffic congestion
A PRISMA-guided review of 49 studies finds 5G/6G-enabled intelligent transportation research fragmented, with sustainability rarely measured directly and 6G capabilities ...
Blockchain Ledger Blocks Poisoned Attack Signatures in Collaborative Intrusion Detection
A permissioned blockchain ledger with an endorsement rule rejected all 50 poisoned signatures in a hybrid intrusion detection test, while ...
Solar-powered VANET framework coordinates roadside units for smart traffic in arid regions
An integrated solar-powered VANET framework achieved packet delivery ratios of 94.5 to 97.9 percent and cut per-unit energy use by ...
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 ...
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 ...
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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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