Latest Articles for Transportation Safety

Anomaly detection is vital for the safety of connected and autonomous vehicles.

DriveWorld enhances self-driving technology by analyzing spatial and temporal data.

A new algorithm enhances safety and efficiency in connected autonomous vehicles.

This paper explores ways to minimize unnecessary driver interventions in automated vehicles.

Smart roadside infrastructure enhances safety and efficiency for self-driving cars.

A new method uses basic sensors to create detailed maps for autonomous vehicles.

A new vision-based approach to simplify automated parking for self-driving cars.

A new framework enhances train fault detection using advanced deep learning techniques.

Bench2Drive offers a fair evaluation method for autonomous driving technologies.

A framework for converting traffic rules into formal logic for autonomous vehicles.

A novel approach to understanding stability in systems with time delays.

A new method improves motion planning for self-driving cars using fluid dynamics.

Study focuses on vehicle following behavior and leader-follower pairs in chaotic traffic.

New strategies aim to improve CAV safety and efficiency in lane-free environments.

Enhancing vehicle communication with advanced technology for safer roads.

New TOKEN approach improves handling of rare driving events in autonomous vehicles.

A new model improves mobile communication between moving devices.

A new model enhances trajectory prediction for self-driving cars in diverse conditions.

New methods enhance trajectory prediction for safer autonomous driving.

A new method aims to predict driving intentions through brain activity monitoring.

A framework for classifying diverse driving patterns to improve road safety.

A new speed controller for automated vehicles improves traffic management.

New model improves object detection for connected autonomous vehicles.

A new method generates street view images from bird's-eye view for self-driving cars.

This project tests lane-following methods for safer self-driving vehicle operation.

A new method enhances cooperation between automated and human-driven vehicles.

Competition showcases efforts for safer driving models in adverse conditions.

An overview of key control techniques in autonomous vehicle technology.

Discover how SymAware improves collaboration and safety in autonomous systems.

This study highlights the importance of object detection in construction zones for self-driving cars.

CASPFormer innovates trajectory prediction using bird’s eye view images.

A study on sloshing effects and baffle usage in LNG tank transport.

New adaptive detection algorithms improve target identification in complex environments.

A new approach to predict traffic behavior using advanced AI models.

Researchers enhance recognition of traffic lights for self-driving cars in poor weather.

Being nice helps AI serve humans more effectively.

MFTP transforms how self-driving cars predict movements without detailed maps.

This system improves how we monitor small objects on the road.

Combining localization and tracking for safer autonomous driving.

SpaRC boosts vehicle awareness by combining radar and camera data for better object detection.