Latest Articles for Urban Planning

A new framework improves predictions by addressing uncertainty in data.

A method to optimize tag assignment for billboard ads based on audience needs.

ExelMap enhances the accuracy of HD map updates for safer autonomous driving.

Evaluating methods for effective charging station placement for electric vehicles.

New techniques enhance dynamic urban modeling for various applications.

Mosquitoes are a major health risk, spreading dangerous diseases worldwide.

Learn how digraphs improve refueling station placement for electric vehicles.

A method combining offline and online learning for improved pedestrian movement predictions.

Exploring new methods for identifying unusual movement patterns in various fields.

A framework improving vehicle localization using multiple sensor data integration.

Robot vehicles improve traffic management and reduce waiting times at busy intersections.

Exploring how language models enhance autonomous driving technologies.

A look at how graphs help in real-world applications like logistics.

How Connected and Autonomous Vehicles will impact daily commutes and traffic flow.

A new method improves 3D scene rendering for various applications.

Introducing HEDGTC for improved analysis of spatiotemporal data.

Exploring how urban areas can benefit from nature-focused planning.

Examining pedestrian and vehicle movement through mathematical models for better planning.

Using centrality to enhance data sharing in vehicular sensor networks.

Trees play a crucial role in managing temperatures in cities and ecosystems.

Examining how people cross streets to improve safety with autonomous vehicles.

New methods enhance object location tracking in dense urban areas.

A new tool evaluates large language models' performance across multiple data types.

ZeroSCD detects changes in images without requiring prior training or labeled data.

Exploring methods to simulate air pollution from a coal power plant.

Analyzing line-based Dial-a-Ride and MinTurn problems for better transport efficiency.

A new method improves change detection using labeled and unlabeled data.

Researchers study driving patterns to improve automated vehicle responses.

AutoSTF automates spatio-temporal forecasting for better predictions and efficiency.

Combining human instructions and technology for safer robotic navigation.

This article presents a system for optimizing decisions despite uncertain predictions.

This study highlights the importance of object detection in construction zones for self-driving cars.

TITAN innovates traffic flow predictions using expert models for better accuracy.

A deep dive into how traffic patterns influence city transportation.

Explore the essentials of population dynamics and its applications in management.

This study addresses multi-period facility location challenges and provides effective solutions.

A new algorithm optimizes sensor placement in sewage networks for better public health monitoring.

A new framework improves detection of overlapping sound events in complex audio environments.

Innovative methods enhance understanding of surroundings for self-driving vehicles.

New methods enhance vehicle communication in cities, improving safety and efficiency.