Lane-level road network updating is crucial for urban traffic applications that use geographic
information systems contributing to, for example, intelligent driving, route planning and traffic …

Background Recent technological advances have resulted in low-cost GPS loggers that are
small enough to be used on a range of seabirds, producing accurate location estimates (±5 …

Within the activities of planning, organizing, or regulating traffic, a considerable amount of
various traffic data is actively used. For responsible data-based decision-making, the quality …

Movement datasets are often complex and require sophisticated processing and analysis. A
thorough understanding of the dataset is needed to choose the right methods and to …

This work presents an analysis of data recorded by a bicycle computer paired with typical
measurement sensors in order to determine whether the data can be useful for a scientific …

Traffic count (or link count) data represents the cumulative traffic in the lanes between two
consecutive signalised intersections. Typically, dedicated infrastructure-based sensors are …

Mobility is a key aspect of modern networking systems. To determine how to better manage
the available resources, many architectures aim to a priori know the future positions of …

In this study, the characteristics of the total electron content (TEC) fluctuations and their
regional differences over China were analyzed by utilizing the rate of the TEC index (ROTI) …

Identifying stops is a primary step in acquiring activity‐related information from mobile phone
location data to understand the activity patterns of individuals. However, signal jumps in …

This paper presents a slant Total Electron Content (STEC) forecasting machine learning
(ML) model focusing on the region of Europe and North Africa, and on the use of spatial as …