CATI Singapore: Real-Time Expressway Traffic Detection Data

Real-time vehicle detection data collected from Singapore's 90 LTA traffic cameras using a novel Context-Aware Traffic Intelligence (CATI) system. The dataset contains per-camera detection results from the Land Transport Authority expressway network, continuously updated by author SuhxsReddy. The last recorded update was on May 12, 2026.

Use Cases

• Training adaptive computer vision models based on the real-time environmental conditioning described.
• Analyzing expressway traffic flow patterns based on continuous per-camera detection results.
• Benchmarking object detection algorithms against a dataset collected from a live camera network.
• Studying the impact of environmental conditions on vehicle detection performance.

Strengths

• Data is collected from 90 official Land Transport Authority (LTA) traffic cameras.
• Uses a novel FiLM-conditioned YOLOv11 detector designed to adapt to environmental conditions in real time.
• Data collection is described as continuous, suggesting a high temporal resolution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file formats are unknown, which may limit suitability assessment.
• Freshness should be verified as the last update timestamp is in the future (2026).

Provenance

Source

Singapore's Land Transport Authority (LTA) expressway camera network.

Collection Method

Collected using CATI (Context-Aware Traffic Intelligence), a FiLM-conditioned YOLOv11 detector.

Freshness

Last updated 2026-05-12 06:03:43.

Geography

Singapore