Latest Articles for Urban Planning

This study investigates vehicle interactions using a two-class traffic model.

This research focuses on improving video zoom using real-world video pairs.

A new method to analyze urban infrastructure weaknesses and improve city resilience.

A look at how bilevel optimization improves traffic management and planning.

A new algorithm for grouping similar movement paths in large datasets.

Effective algorithms for optimal facility placement in continuous client distributions.

Examining recovery strategies after Hurricane Harvey using agent-based modeling.

Discover the role of UANet in improving building extraction accuracy.

FSLens uses data visualization to optimize fire station placement for better community safety.

This article discusses a new approach to trip planning in public transit networks.

Introducing STZINB-GNN, a better model for predicting traffic accidents and uncertainties.

A new approach to improve vehicle communication and data security.

The study analyzes how cycling environments influence safety perceptions and cycling habits.

Lens-MIMO technology improves vehicle positioning for safer driving applications.

HUTFormer improves traffic predictions by combining multi-scale data and advanced modeling techniques.

SIP balances data sharing and privacy for real-time applications.

Anonymized movement data sheds light on human behavior in cities.

A new method improves predictions of moving agents' paths in transportation.

This study focuses on identifying paths in networks of disks.

A method to enhance target positioning despite unreliable measurements.

Research shows one human can effectively supervise a swarm of 100 robots.

KIBS method simplifies urban 3D models using single satellite images.

Planning adaptive railway networks for current and future demands.

Autonomous vehicles enhance parking space estimation for better congestion management.

Study reveals how particles distribute themselves over time on smooth surfaces.

A new method improves image compression for better driving systems.

Examining the challenges and solutions for connected and autonomous vehicle operations.

A machine learning method to estimate traffic signal timings using data from vehicles.

Combining drones and trucks offers quicker and efficient parcel delivery.

Research focuses on automating building detection and height measurement from satellite imagery.

Examining how individual decisions shape urban communities and their patterns.

Learn how design points enhance prediction accuracy in spatial statistics.

This article discusses the significance of predicting pedestrian movement for autonomous vehicle safety.

A novel approach to ensure fair predictions in urban mobility analysis.

A new method using radar data enhances predictions of extreme rainfall events.

This study examines turbulence behavior in cities under changing air flow conditions.

New approach enhances obstacle detection in autonomous vehicles through planned maneuvers.

AerialVLN improves drone navigation using language and visual data.

Research uses smartphone data to analyze daily movement patterns.

ReWAG allows accurate location finding with standard cameras in urban settings.