Smart City Traffic Prediction Dataset
Catalog Summary
"Traffic volume data classified by vehicle type (Car, Bike, Bus, Truck) for urban traffic flow prediction and congestion management."
Catalog Notes
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 ExternalCite This Catalog Record
IoTDataset.com (2026). Smart City Traffic Prediction Dataset — catalog record. [Dataset]. IoTDataset.com. https://iotdataset.com/data/smart-city-traffic-prediction
The publisher's preferred dataset citation is not recorded. The text above cites this IoTDataset.com catalog record, not the underlying dataset.
Catalog publisher: IoTDataset.com (2026)
Indexed by IoTDataset.com on Jan 06, 2026
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