Name: Segmented Taxi Trajectories in Bangkok
Creator: Pattama Krataithong
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Transportation

Abstract

This dataset contains segmented taxi trajectories with passengers in Bangkok, derived from taxi GPS data originally published by the ITIC Foundation (https://org.iticfoundation.org/). We processed the raw GPS data to extract segmented taxi trajectories, providing structured insights into urban mobility during the Songkran Festival.

The dataset is divided into three separate files based on the time period:

Before Songkran: April 04–10, 2019
During Songkran: April 11–17, 2019
After Songkran: April 18–24, 2019

This dataset can be used for analyzing transportation patterns, travel behaviors, and the impact of major events on urban mobility.

Instructions:

Each entry in the CSV file represents a segmented taxi trajectory with passgengers that combine taxit OD (origin/destination) points such as VehicleID, gpsvalid, lat, long, date time, speed, heading, for hire light, engine acc, geometry, trip point, and trajectory id.

Fields description:

Vehicle ID: Unique vehicle ID
GPS Valid: 1 = enough satellite for GPS fix
lat / lon: GPS location up to 5 decimal places
timestamp: GPS timestamp ( GMT+7 )
speed: km/h
heading: vehicle heading direction [0-360) degree from North=0
for_hire_light: [for taxis] whether "For Hire" light is ON 1 = light on => possibly no passenger 0 = " => possibly carrying passengers
engine_acc: car key status active, can be: 1 (active, the data will be collected every minutes) or 0 (inactive, data collected every 3 minutes)
trip_point: labeled stop point (start/end)
trajectory_id: Unique trajectory ID