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MELAUDIS: A Large-Scale Benchmark Acoustic Dataset For Intelligent Transportation Systems Research.

Hossein Parineh1, Majid Sarvi2, Saeed Asadi Bagloee2

  • 1Department of Infrastructure Engineering, The University of Melbourne, Melbourne, 3053, Australia. hparineh@student.unimelb.edu.au.

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Researchers developed MELAUDIS, a large real-world acoustic dataset for intelligent transportation systems (ITS). This dataset enhances vehicle detection and classification, improving accuracy with advanced audio processing techniques.

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Area of Science:

  • Intelligent Transportation Systems (ITS)
  • Acoustic Signal Processing
  • Machine Learning for Transportation

Background:

  • Acoustic traffic sensors offer cost-effective road traffic monitoring.
  • Existing audio datasets for ITS lack real-world complexity and diversity.
  • There is a need for comprehensive acoustic data to advance intelligent transportation research.

Purpose of the Study:

  • Introduce MELAUDIS, the first comprehensive real-world acoustic dataset for ITS.
  • Facilitate vehicle detection, traffic status monitoring, and vehicle type classification.
  • Establish a benchmark dataset to drive innovation in urban acoustic intelligence.

Main Methods:

  • Collected diverse audio recordings from multi-lane, two-way traffic roads.
  • Included various traffic conditions, ambient noises, and weather settings.
  • Annotated six vehicle types (bicycles, motorcycles, cars, buses, trucks, trams) in single and multi-vehicle scenarios.

Main Results:

  • MELAUDIS comprises 5,792 background noise, 7,345 vehicle sound, and 2,955 idling sound recordings.
  • Achieved a classification accuracy improvement from 65.1% to 82.84% using log-mel-spectrograms and Convolutional Neural Networks (CNNs).
  • The dataset's extensive labeling (1,200+ man-hours) ensures high quality for research.

Conclusions:

  • MELAUDIS is the largest urban acoustic dataset to date, addressing critical data gaps in ITS.
  • The dataset significantly improves the performance of acoustic-based vehicle analysis.
  • MELAUDIS provides a robust foundation for future research and development in intelligent transportation systems.