Abstract
"Traffic volume data classified by vehicle type (Car, Bike, Bus, Truck) for urban traffic flow prediction and congestion management."
Description
Captured via Smart Traffic Cameras and sensors, this dataset categorizes vehicles to help urban planners analyze traffic density.
Data Attributes:
- Vehicle Types: Counts for Cars, Bikes, Buses, and Trucks.
- Time Slots: Traffic density mapped to specific times of the day.
- Traffic Situation: Labels for traffic intensity (Low, Normal, Heavy).
Research Goal:
Developing Intelligent Traffic Management Systems (ITMS) to reduce congestion in smart cities.
Source: Kaggle (Hasibullah Aman) - Open License.
📊 View Data Structure
To explore column names, data types, and sample rows, visit the official dataset page on External.
Preview on External
Cite This Dataset
External (2026). Smart City Traffic Prediction Dataset. [Dataset]. External. https://www.kaggle.com/datasets/hasibullahaman/traffic-prediction-dataset
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Original source: External (2026). Visit official page for more details.
Indexed by IoTDataset.com on Jan 06, 2026
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