Latest Articles for Transportation

Innovative methods enhance image transmission efficiency using SAM in communication technology.

Dopamine influences decision-making strategies and risk-taking behaviors.

A new algorithm efficiently updates shortest paths in changing networks.

6G technology promises faster communication and new applications for everyday life.

Examining the role of Semantic Communication in connected vehicle environments.

Examining how stochastic resetting influences particle behavior and interactions.

A flexible prediction model enhances safety and efficiency in highway merging.

A new method enhances safety for connected and automated vehicles amid potential threats.

StreetSurf creates detailed 3D models from standard images of street views.

Enhancing urban data granularity while protecting individual privacy.

A study reveals how we adjust learning rates based on new information.

Learn how cooperative vehicle platooning improves road safety and efficiency.

This study optimizes electric vehicle routes using real-time charging station information.

New methods enhance management of electric vehicle sharing systems for better customer service.

Flatland 3 Challenge aims to improve train scheduling and traffic management.

A look into how Spatial Digital Twins improve real-world systems.

A study on how location details improve travel mode identification.

New methods enhance reliability and speed in modern wireless communication.

A new model enhances traffic predictions amid data gaps and changing road networks.

A new framework improves the modeling of human movement patterns.

A new method improves self-driving cars' safety and comfort through predictive models.

SwinRDM offers high-resolution weather predictions using machine learning techniques.

This article explores how players compete for limited resources in congestion games.

A new method enhances map accuracy for safer autonomous driving.

A look into improving EV infrastructure using quantum computing.

Exploring the significance and applications of mobility data in society today.

Drone swarms offer efficient solutions for transporting heavy loads in various industries.

Exploring the optimal connection strategies for groups of points in trees.

This article explores synchronization challenges in complex multi-body systems across various applications.

Examining how cars and motorcycles interact in traffic flow.

A large-scale dataset and advanced algorithm for vehicle routing efficiency.

STEF-DHNet improves ride demand forecasts for better service and efficiency.

Examining risk analysis methods for safe self-driving technology.

A new system enhances off-road vehicle terrain assessment using LiDAR and camera data.

This article examines new methods for improving periodic timetabling through split cuts.

Machine learning enhances GNSS accuracy, overcoming challenges in signal selection.

Introducing DSTCGCN for improved traffic forecasting accuracy.

Creating safe and efficient air transportation in cities requires careful planning.

A new approach enhances traffic flow forecasting using advanced graph techniques.

A fresh perspective on analyzing networks with node-layer duality reveals deeper insights.