mlsanityData to 14 Oct 2026

Adaptive Vehicle Speed Classification via BMCNN with Reinforcement Learning-Enhanced Acoustic Processing

arXiv 2509.00839 ↗First posted 31 Aug 2025cs.SD cs.AI eess.AScited by 0

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Abstract (arXiv)

Traffic congestion remains a pressing urban challenge, requiring intelligent transportation systems for real-time management. We present a hybrid framework that combines deep learning and reinforcement learning for acoustic vehicle speed classification. A dual-branch BMCNN processes MFCC and wavelet features to capture complementary frequency patterns. An attention-enhanced DQN adaptively selects the minimal number of audio frames and triggers early decisions once confidence thresholds are reached. Evaluations on IDMT-Traffic and our SZUR-Acoustic (Suzhou) datasets show 95.99% and 92.3% accuracy, with up to 1.63x faster average processing via early termination. Compared with A3C, DDDQN, SA2C, PPO, and TD3, the method provides a superior accuracy-efficiency trade-off and is suitable for real-time ITS deployment in heterogeneous urban environments.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 14 of its 45 references that are in the map. First posted on arXiv 31 Aug 2025.

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References · 14

  1. 2017Proximal Policy Optimization Algorithmscited by 15,215
  2. 2018Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actorcited by 4,885
  3. 2018Addressing Function Approximation Error in Actor-Critic Methodscited by 2,417
  4. 2016Asynchronous Methods for Deep Reinforcement Learningcited by 2,258
  5. 2015Deep Reinforcement Learning with Double Q-learningcited by 1,745
  6. 2015Dueling Network Architectures for Deep Reinforcement Learningcited by 785
  7. 2017BranchyNet: Fast Inference via Early Exiting from Deep Neural Networkscited by 596
  8. 2016Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classificationcited by 85
  9. 2021IDMT-Traffic: An Open Benchmark Dataset for Acoustic Traffic Monitoring Researchcited by 8
  10. 2023Adaptive Computation Modules: Granular Conditional Computation For Efficient Inferencecited by 6
  11. 2022An approach to improving sound-based vehicle speed estimationcited by 3
  12. 2018Classification of Vehicles Based on Audio Signals using Quadratic Discriminant Analysis and High Energy Feature Vectorscited by 1
2 more
  1. 2019Attention-based Deep Reinforcement Learning for Multi-view Environmentscited by 1
  2. 2022PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Explorationcited by 1

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