Latest Articles for Urban Planning

A new framework enhances traffic speed predictions using contextual data.

SceneMotion improves predictions for self-driving cars by considering agent interactions.

A method to convert floor plans into 3D models for better emergency planning.

Using AI to assess flash flood risks in the Rheraya watershed.

Analyzing urban mobility data raises critical privacy concerns for researchers.

Three innovative tools enhance the understanding of Local Moran's I results.

New method enhances land use classification in satellite images.

A new method for visualizing global sound distributions using audio and satellite data.

A small-scale city model aids research on self-driving cars and smart transport systems.

A new method teaches AI to navigate cities using landmarks without step-by-step instructions.

A new model predicts traffic flow without relying heavily on sensor data.

New approaches improve bike-sharing system efficiency and management.

Improving drone flight paths enhances communication during disasters.

AI and large language models streamline base station siting processes in mobile networks.

This article discusses a unified method to assess and improve traffic safety.

A new approach enhances self-driving cars' ability to navigate roundabouts safely.

This article examines how agents behave when competing for physical space.

A system that predicts taxi demand while protecting passenger data.

Innovative methods aim to improve parking management in busy cities.

Analysis reveals significant patterns in air pollution and health risks across Europe.

Examining differential privacy in spatiotemporal transportation data for user protection.

PM-DMNet enhances traffic prediction accuracy and efficiency using advanced techniques.

LASPATED helps analyze data with location and time aspects for better insights.

Research highlights traffic patterns and congestion near UNCC using iterative methods.

A new method improves traffic sensor location efficiency using graph cuts.

A new model to improve public transport planning by considering vehicle capacity and passenger behavior.

A new speed controller for automated vehicles improves traffic management.

A guide to the smallest enclosing circle on a sphere with practical applications.

A new GNN method offers faster evaluation of traffic policies for cities.

Combining street-level and satellite imagery for better disaster response.

A new model improves traffic predictions following crashes for better management.

A new system enhances traffic monitoring and management in cities.

Studying how autonomous vehicles can improve traffic flow and reduce congestion.

Using smart technology to optimize traffic flow in growing cities.

This study presents a traffic flow model that accounts for connected and autonomous vehicles.

Climate change may increase West Nile Virus risk in the UK.

A project aims to improve fire department response time through data modeling.

Using data-driven methods to forecast sewer system behavior during heavy rain.

HAPNet combines hyperspectral and SAR data for better land cover classification.

Using dynamic graphs to reveal patterns in urban passenger travel.