Latest Articles for Transportation Systems

A new method enhances network understanding by combining node features with structure.

Introducing a model that improves traffic predictions through innovative spatial techniques.

Exploring how group centrality metrics reshape network analysis and understanding.

Research explores how interconnected eHMIs can improve communication between AVs and pedestrians.

D-DUIO improves state estimation using data-driven approaches across dynamic systems.

A look into graph signal processing and its impact on modern data analysis.

CLAP enhances machine learning by improving retention of previous knowledge.

A look at directed graphs and the significance of minimal paths within them.

A deep dive into the geodesic center problem and its implications.

CAVs can improve traffic flow and safety through communication and cooperation.

Research aims to create networks that stay connected despite failures.

A new method identifies unusual patterns in evolving networks to enhance anomaly detection.

A look at how to maintain strong connectivity in directed graphs through partitioning.

Learn how diffusion models enhance time series data analysis across various fields.

A new method improves safety in high-dimensional reachability for autonomous vehicles.

New techniques improve safety and efficiency in monitoring infrastructure.

A new framework for better traffic flow predictions in growing cities.

This study presents a new method for managing urban transport efficiently.

A new method combines traffic models for improved transportation insights.

A study reveals how road networks and demographics influence travel mode shares in cities.

Learn how vehicles can communicate to enhance safety and efficiency on the roads.

A new approach to enhance traffic systems by focusing on adaptability.

Analyzing edge significance improves overall communication in various network systems.

Analyzing human movement can improve city planning and transportation systems.

This paper examines how technology can enhance city transportation options.

Exploring the design and potential of reconfigurable intelligent surfaces in wireless systems.

A new method improves the understanding of long-range dependencies in dynamic graphs.

Exploring underground freight systems for efficient package delivery in cities.

This article examines traffic congestion causes and potential management strategies.

A review of machine learning methods for predicting traffic accidents and improving road safety.

This article explores key components and importance of transit line planning.

Analyzing user behavior to improve urban public transport systems.

A new method for finding paths amid faulty connections in networks.

This study examines the route planning strategies of London taxi drivers in urban environments.

Delay-Doppler Alignment Modulation enhances reliability in high-speed data transmission.

A new approach to improve traffic routing and reduce congestion in urban areas.

ST-Mamba improves traffic flow estimates using limited data from vehicles.

New method uses a single camera for effective object detection.

This research enhances stop location detection using mobile GPS data analysis.

New methods enhance safety in self-driving cars amid unpredictable obstacles.