Latest Articles for Urban Planning

The STDDE model enhances traffic predictions by incorporating delay and continuous changes.

A study on finding efficient curves to cover specific areas.

DroneCAST aims to enhance communication in urban air mobility for drones.

A model for fair and efficient electric bus charging infrastructure planning.

A platform for AI agents to interact with real environments using geospatial data.

Researchers reveal better methods for representing probability measures with points.

RUMBoost merges utility models and machine learning for improved travel choice predictions.

A study on pedestrian behavior to improve safety in self-driving car scenarios.

A study identifies ideal spots for bike stations in Malaga to promote cycling.

Using Digital Twin technology to improve urban transportation through mobility profiling.

Explores the implementation of AI in optimizing autonomous vehicle services.

New algorithms improve problem-solving efficiency in complex optimization scenarios.

A new framework that automates the creation of urban knowledge graphs.

This article covers methods to estimate bus speeds while protecting privacy.

A method to visualize and predict sounds in various environments using advanced technology.

Exploring how slime mold's behavior improves network efficiency in real-world applications.

A simulator sheds light on urban traffic challenges and solutions.

Explore how multiple stable states impact urban population and market dynamics.

Understanding the complexities and solutions in geospatial data analysis.

A new framework for generating realistic mobility data using reasoning.

New method enhances satellite image adaptation without predefined domains.

A study on random line shapes and their implications in various fields.

Examining solutions to improve accuracy in location-based population statistics.

A new method enhances predictions in virtual sensing with limited data.

A new method for faster and better radio environment map predictions using deep learning.

Examining how AVs can improve road safety while maintaining traffic flow.

Examining the link between our surroundings and mental well-being.

Understanding recovery strategies after disasters is crucial for communities.

Research reveals broader ways to deliver directions using spatial knowledge.

A new method improves the alignment of LiDAR and camera data for better 3D models.

Study reveals air quality shifts during lockdown in Central Italy.

NARUTO uses neural techniques for real-time 3D environment modeling.

Connected partitions help optimize resource allocation in various fields.

A new method enhances road segmentation accuracy in varied satellite images.

This method improves urban research by collecting public perceptions of street views.

A new framework addresses uncertainties in discrete choice models for better predictions.

New framework improves object recognition in complex environments for autonomous vehicles.

Introducing a model that improves traffic predictions through innovative spatial techniques.

UXsim offers insights into traffic management and simulations.

Examining how random points can effectively cover designated areas.