Latest Articles for Transportation

A look into how dynamic graphs shape our interactions and insights.

A new benchmark enhances evaluation of pedestrian pathways for better urban accessibility.

Exploring how geodesics function within random road structures offers practical implications.

Discover how continuous learning is transforming artificial intelligence and its applications.

This study reveals the effects of noise from transportation on depression rates.

A new method enhances the accuracy of precipitation forecasts for better decision-making.

TransRx enhances communication between vehicles and networks for safer driving.

A study on improving GPS data matching to road networks.

Exploring how large language models are shaping autonomous vehicle technology.

A look into real-time techniques for identifying hybrid systems.

This study examines fairness in driver earnings and rider pricing in the rideshare industry.

OpenUAS provides a detailed view of urban area usage across Japan's major cities.

Combining machine learning and metaheuristics for better vehicle routing solutions.

A study on how Park-and-Ride can reduce congestion and emissions.

Using vision-language models to improve urban mapping accuracy and accessibility.

A method to visualize and understand train delays in busy rail systems.

This article examines how data and technology can help predict flight delays.

Learn how RIS are transforming communication systems for better efficiency and coverage.

An overview of how technology shapes various sectors today.

This article examines how vehicles cooperate to improve traffic flow.

A new method teaches AI to navigate cities using landmarks without step-by-step instructions.

New approaches improve bike-sharing system efficiency and management.

New compression techniques improve data handling in autonomous vehicles.

A system that predicts taxi demand while protecting passenger data.

Innovative methods aim to improve parking management in busy cities.

A look at how information compression aids decision-making in complex game environments.

PM-DMNet enhances traffic prediction accuracy and efficiency using advanced techniques.

Efficient vehicle routing and scheduling methods for timely deliveries.

NIRVAR analyzes complex time series as networks, enhancing predictive accuracy across various fields.

Examining how availability and capacity affect particle movement.

New LiDAR systems improve precision and speed for various applications.

SpbTrack improves LiDAR tracking for enhanced safety and privacy.

A new method enhances lane detection accuracy for self-driving cars.

Study reveals how handover processes affect train communication efficiency.

A new model improves traffic predictions following crashes for better management.

Studying how autonomous vehicles can improve traffic flow and reduce congestion.

Using smart technology to optimize traffic flow in growing cities.

This study presents a traffic flow model that accounts for connected and autonomous vehicles.

A new approach enhances traffic light management, reducing congestion and improving flow.

Analyzing Traffic Sequence Charts for reliable HAV development.