Latest Articles for Urban Planning

A look into how smart cities manage resources while meeting strict limits.

PlaNeRF enhances 3D modeling from 2D images, improving geometry and image quality.

A look at how spatial point processes help model events in various contexts.

New systems focus on sending only critical changes from satellites.

A new method enhances data predictions for areas lacking sensor coverage.

A new method improves accuracy in detecting landscape changes over time.

A new model improves accuracy in predicting traffic conditions.

Exploring the impact of urban design on accessibility and community vitality.

Improving communication systems for connected and autonomous vehicles to boost traffic flow.

Transit agencies are enhancing bus tracking through refined GPS data analysis.

Using drones for traffic data improves safety and efficiency on roads.

A system to track fires and predict smoke spread for public health safety.

New techniques enhance flood detection using SAR imagery and DAM-Net.

RGLight uses AI to improve traffic signal control and reduce congestion.

A new framework enhances content delivery in busy urban areas.

This study examines how AI can enhance tagging in mapping projects.

A tool for analyzing night-time light data to aid urban planning and research.

A new method uses computer vision on street view images to estimate flood risk.

New research shows varied travel behaviors between city regions.

A new model improves the analysis of spatial data relationships.

Exploring the division of convex shapes into equal parts and its implications.

A new model improves predictions of pedestrian movement by accounting for sensor uncertainty.

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.

Explore how merging nodes can strengthen graph connectivity in various systems.

Study reveals the importance of urban parks for the Large Japanese field mouse.

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

A study on how location details improve travel mode identification.

Combining traditional sensors with connected vehicle data to estimate ramp queue lengths.

A new model for facility placement emphasizes cooperation to attract more customers.

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

A new framework improves the modeling of human movement patterns.

This method estimates tree cover in cities using satellite imagery and advanced classification techniques.

UrbanIR transforms single videos into realistic urban visuals under various lighting.

Exploring how location relationships change throughout the day for better planning.

Improving traffic flow with modern control methods for urban intersections.

LaDe provides crucial insights into last-mile delivery logistics using real-world data.

A novel approach addresses missing optical data in urban satellite mapping.

A new dataset and model improve remote sensing image analysis.

Exploring the complexities of embedding multiple planar graphs without overlap.