Latest Articles for Traffic Management

Introducing a method to enhance traffic simulation accuracy through human behavior modeling.

This study emphasizes the importance of target variables in vehicle behavior modeling.

Introducing a finite volume scheme for scalar conservation laws with abrupt changes.

A framework to extract meaningful patterns from uncertain and noisy datasets.

This research applies antifragility to improve urban traffic management during disruptions.

A new method improves traffic safety and efficiency through adaptive cruise control.

R T-LLM improves traffic forecasting accuracy and explains its predictions.

A new method improves motion prediction for autonomous vehicles, focusing on safety and uncertainty.

New arrival systems for flying vehicles improve city travel efficiency and safety.

Examining strategies to reduce bus delays and improve passenger experience.

A cost-effective method to monitor driver attention using dashboard cameras.

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

A new framework enhances imitation learning amid changing signals in multi-agent systems.

A look at methods for filling gaps in tensor time series datasets, focusing on NYC taxi data.

A new approach to sharing trajectory data while maintaining user privacy.

A new model improves traffic speed prediction through causal analysis and data adaptation.

This article discusses a toll lane system for autonomous and high-occupancy vehicles.

A look into modern traffic flow modeling using new approaches and technologies.

Combining GAI and MoE enhances vehicle communication, safety, and decision-making.

LPSim offers rapid, large-scale traffic simulation using advanced GPU technology.

TG-ODE framework improves analysis of complex systems with irregular data.

Innovative strategies to enhance traffic flow and reduce fuel use at roundabouts.

A new model enhances traffic predictions for smarter urban mobility.

A new framework enhances traffic forecasting through counterfactual explanations for better decision-making.

A method for agents to learn strategies in mean field games with minimal prior knowledge.

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

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

Examining traffic patterns using pooled data for better urban management.

This article discusses a distributed method for traffic management using connected vehicles.

RoScenes offers vital data to improve roadside perception and traffic management.

A new method combines traffic models for improved transportation insights.

This article examines the methods for creating safe autonomous vehicles.

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

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

TimeMixer combines detailed and broad data patterns for better forecasting accuracy.

A new driving world model tackles challenges in autonomous driving technology.

A look into how parking functions model car parking and avoid patterns.

Research reveals biases in object detection systems affecting safety in autonomous vehicles.

Discover how cycloids help model synchronization in processes across various fields.

Exploring how GMFGs model diverse interactions among agents in complex systems.