FreeSyntheticGPSTrajectories100M

100 million fully synthetic GPS trip points across roughly 944,000 trips, built for developers and researchers working on logistics, rideshare, fleet-tracking, or mapping systems who need realistic-shaped trajectory data without touching real location data. Every trip is a continuous, physically plausible path — not independent random points — making this suitable for testing route reconstruction, trip segmentation, geofencing, and time-series/spatial pipelines. No real vehicles, devices, or individuals are represented; every trip is randomly generated.

Schema

Column	Type	Description
point_id	string	Unique identifier for this GPS ping
trip_id	string	Groups points belonging to the same continuous trip
vehicle_id	string	Vehicle/device identifier, reused across multiple trips
trip_sequence_num	int32	Position of this point within its trip (0-indexed)
timestamp	string	ISO 8601 UTC timestamp
latitude	float32
longitude	float32
speed_kmh	float32
heading_deg	float32	Compass heading, 0-360
accuracy_m	float32	Simulated GPS accuracy in meters

Format

Single Parquet file, Snappy compression, ~3.2 GB, 100,000,000 rows.

Quick start

import duckdb
duckdb.sql("SELECT * FROM 'geo_gps_100M.parquet' LIMIT 10").show()

import pyarrow.parquet as pq
pf = pq.ParquetFile("geo_gps_100M.parquet")
for batch in pf.iter_batches(batch_size=100000):
    ...  # process each batch

from datasets import load_dataset
ds = load_dataset("ziadatalabs/FreeSyntheticGPSTrajectories100M", streaming=True)

Notes

Points are ~10 seconds apart within a trip. Trips originate in one of 35 major world cities (weighted toward larger metros) and follow a continuous random-walk path — heading drifts gradually and speed follows realistic urban/highway/stop patterns rather than teleporting between unrelated coordinates. Vehicles are reused across multiple trips to mirror a fleet-style usage pattern. All entirely synthetic — no real GPS traces, devices, or individuals are represented.

License & Usage

Licensed under CC-BY-NC-4.0. Free for personal, research, and educational use with attribution. Not licensed for commercial use.

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Created by Zia Data Labs. Questions or feedback: zia.data.team@protonmail.com