Dark Mode
Saigon Road Network Traffic Data
Data Science and Analytics
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset provides historical traffic flow conditions for Ho Chi Minh City, Viet Nam. It includes granular details such as speed and level of service for various road segments. The primary purpose is to enable analysis, prediction, and learning about how traffic flow changes at different times of the day, offering insights into urban mobility patterns.
Columns
The dataset is structured across four main tables:
- segment_status.csv: Contains reported traffic status for individual road segments, along with date and time information.
- segments.csv: Provides detailed information about each road segment, including its start node, end node, length, and associated street.
- nodes.csv: Defines geographical points on Earth using longitude and latitude, which serve as connection points between segments. Key columns include:
_id: A unique identification number for each node.long: The longitude coordinate of the node.lat: The latitude coordinate of the node.
- streets.csv: Details about streets formed by multiple segments, including the street name, level, type, and maximum free-flow velocity.
- train.csv: Derived from
segments.csvandsegment_status.csv, this file splits each day into 48 periods of 30 minutes. Each period is labelled by its Level of Service (LOS), which is assessed based on current velocity and the maximum allowed velocity.
Distribution
The data files are typically in CSV format. This dataset is a minimised version, designed for analytical purposes, and consists of four distinct tables. For example, the
nodes.csv file has a size of 19.44 MB and contains 3 columns, with approximately 578,000 valid records for both longitude and latitude.Usage
This dataset is ideal for:
- Predicting traffic conditions at various times of the day.
- Analysing historical traffic patterns to identify trends and anomalies.
- Developing urban planning strategies to alleviate congestion.
- Researching mobility behaviours within Ho Chi Minh City.
- Creating real-time traffic monitoring and alert systems.
Coverage
The dataset focuses geographically on Ho Chi Minh City, Viet Nam. Temporally, it captures historical traffic conditions, with each day segmented into 48 distinct 30-minute periods, from 00:00 to 23:30. There are no specific notes on data availability for particular demographic groups or years, but it covers general traffic conditions.
License
CC0: Public Domain
Who Can Use It
This dataset is particularly useful for:
- Urban Planners: To design more efficient transportation systems.
- Data Scientists and Analysts: For developing predictive models and gaining insights into traffic dynamics.
- Researchers: To study urban mobility, congestion, and the impact of various factors on traffic flow.
- Transportation Authorities: To monitor and manage city traffic more effectively.
Dataset Name Suggestions
- Ho Chi Minh City Urban Traffic Flow
- Vietnam Traffic Dynamics Dataset
- HCMC Historical Traffic Conditions
- Saigon Road Network Traffic Data
- Ho Chi Minh City Mobility Analytics
Attributes
Original Data Source: Saigon Road Network Traffic Data
QUALITY