Latest Articles for Transportation

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.

New dataset improves camera performance for nighttime driving scenes.

Effective communication is key to trust in self-driving vehicles.

How explanation specificity affects passenger safety and anxiety in autonomous vehicles.

A novel approach to self-driving vehicles that prioritizes safety and comfort.

A framework for assessing safety and emissions in self-driving vehicles.

Analyzing the impact of IRA and CCS on electric vehicle adoption in the U.S.

A new system enhances vehicle dispatching for ride-hailing services.

Learn how nonlocal conservation laws impact traffic and crowd dynamics.

CooPre enhances vehicle perception using unlabelled data for safer driving.

Q-ICVT method enhances 3D object detection using LiDAR and camera data.

Research reveals methods to handle changing road conditions for self-driving cars.

VALE enhances understanding of AI image classification through dual explanations.

A new model reveals how urban areas evolve through worker and company interactions.

A new framework improves traffic predictions by analyzing causal relationships and uncertainty.