馃敩 Malaysia Transport Research Platform
Real-Time Anomaly Detection & Predictive Analytics Research

Research Objectives

This platform collects real-time transport data for anomaly detection research:

  • Anomaly Detection: Identify unusual transport patterns
  • Predictive Analytics: Forecast delays and congestion
  • Data Collection: Build unique Malaysian transport dataset
  • LLM Analysis: AI-powered explanations

Get API key: Groq Console

馃摎 Research Dataset Information

Database Schema
  • vehicle_logs: Position data
  • anomalies: Detected issues
  • city_stats: Aggregated metrics
  • external_data: Weather, fuel, etc.
Data Format
  • CSV exports available
  • SQLite database portable
  • Pandas-compatible
  • Timestamp indexed
Analysis Tools
  • Python/Pandas for analysis
  • Scikit-learn for ML
  • PyTorch/TensorFlow for DL
  • LangChain for LLM integration
Contact & Collaboration
  • Open for collaboration
  • Dataset sharing available
  • Research partnerships welcome
  • Citation required for use

Malaysia Transport Research Platform | Data: data.gov.my | Powered by Groq AI & Gradio

馃敩 Research-focused 路 馃搳 Data collection in progress 路 馃 Open for collaboration