Latest Articles for Traffic Management

A new algorithm enhances the analysis of complex switched systems.

A look into techniques for teaching agents to follow expert behavior effectively.

A study on algorithms tackling integer traffic flow challenges in city networks.

This article explores hybrid motion planning methods for safer automated driving.

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

A method to improve urban traffic management through advanced signal control.

A new model enhances traffic prediction in urban areas using advanced techniques.

Revolutionizing urban transportation with a high-performance traffic simulator.

This article examines traffic congestion causes and potential management strategies.

A method to maintain privacy while sharing urban traffic statistics.

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

A-TEAM simplifies traffic management with data-driven tools and modular applications.

A look into how agents interact and make decisions over time.

Analyzing user behavior to improve urban public transport systems.

A method to enhance system efficiency without detailed knowledge.

New methods to keep real-time data relevant in connected environments.

LCSim offers improved tools for realistic urban traffic scenarios.

A new method enhances object tracking using 3D data integration.

Innovative approaches to reduce traffic jams by aiding drivers with real-time advice.

This article discusses methods to stabilize the Burgers equation for better modeling.

A method to enhance roadside sensors' location accuracy in urban areas.

New method enhances object detection in autonomous vehicles through cooperative perception.

VA-Count improves accuracy and flexibility in counting unseen objects.

Study reveals insights into vehicle behavior at highway weaving areas.

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

Learn about approximators for traffic flow in large graphs.

New methods automate parking detection and status identification for smarter systems.

Study shows better vehicle matching through strategic image capture regions.

Exploring the dynamics of parking with time-limited scenarios.

A study on travel time prediction for Islamabad's busy routes.

A new method enhances traffic flow estimates using data from connected vehicles.

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

A look at synthetic data generation for urban mobility and privacy challenges.

Introducing STD-LLM for improved forecasting and imputation in dynamic systems.

NeighborFL enhances traffic prediction accuracy while protecting data privacy.

Crowd-SAM enhances object detection in busy environments with fewer labeled images.

Nonlocal stochastic models enhance traffic management and reduce congestion.

This study explores how predicting lane changes can enhance energy savings for CAVs.

A look at how GPS data enhances traffic flow mapping accuracy.

Revolutionizing lane detection for self-driving cars with enhanced accuracy and understanding.