Trajectory Datasets: A Curated Collection of Movement and Mobility Data

Curated by yupidevs and updated in July 2024, this repository provides a centralized collection of various trajectory and movement datasets. It functions as a meta-resource for researchers looking for mobility data across different domains, including geospatial and time-series formats.

Use Cases

• Benchmarking trajectory prediction models using the linked movement paths
• Developing mobility analysis algorithms on geospatial data
• Testing Python-based trajectory processing libraries

Strengths

• MIT licensed repository
• Updated in 2024
• Aggregates multiple trajectory types in one location

Limitations

• Meta-dataset structure means data quality and formats vary by source
• No unified schema across the linked datasets
• Unknown total record count across all sources

Provenance

Source

yupidevs via GitHub

Collection Method

curated list

Freshness

Last updated July 22, 2024.

Geography

global