Traffic Flow Data In Ho Chi Minh City, Viet Nam

Context

Mining historical data from local traffic condition to learn/predict/analyze how traffic flow could be at different times of the day.

Content

The main file is train.csv: built from segments.csv and segment_status.csv. A day is split into 48 periods of 30 minutes, the first period is period_0_00 corresponding to 00:00 and the last one is period_23_30 corresponding to 23:30, each period is labeled by Level of Service (LOS - assessed by velocity at the time and the maximum velocity allowed.)
The original dataset provided and minimized for analytical purposes contains 4 tables only:

• segment_status.csv: traffic status for a segment reported at different date and time.
• segments.csv: detail information about a segment including start node, end node, length of the segment and its belonging street.
• nodes.csv: a node is a point on Earth specified by longitude and latitude positions, it connects segments together.
• streets.csv: many segments together form a street in real-world, the table contains details about street name, level, type of street and its maximum velocity when free flow.

Acknowledgements

Data provided: Research group from HCM University of Technology (website)
Banner image by Denys Nevozhai

Inspirations

Research motivation?