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Quiet Commutes. Happy Passengers.

AI-driven noise cancellation that targets wheel-rail friction and structural resonance—at a fraction of traditional costs.

Transforming Rail Transit Acoustics

Rail transit operators face a persistent challenge: how to provide a comfortable, quiet environment for passengers while managing the inherent noise of wheel-rail interaction and structural vibrations. SteadyBeat’s AI-powered active noise cancellation solution offers a cost-effective, lightweight alternative to traditional soundproofing, specifically targeting the low-frequency noise that most affects passenger comfort.

Challenges in Rail Transit Acoustics

Understanding the acoustic challenges facing modern rail transit systems

Persistent Low-Frequency Noise

Wheel-rail friction and structural resonance generate continuous low-frequency noise (50-500Hz) that traditional passive materials cannot effectively mitigate.

Impact

  • Passenger discomfort and fatigue
  • Reduced service quality perception
  • Complaints and negative reviews

High Cost of Traditional Solutions

Conventional noise reduction relies on heavy soundproofing materials and structural modifications, significantly increasing vehicle weight and manufacturing costs.

Impact

  • Higher energy consumption
  • Increased operational costs
  • Limited retrofit feasibility

PA System Interference

Ambient noise interferes with public address systems, forcing operators to increase volume, which further contributes to the noisy environment.

Impact

  • Missed safety announcements
  • Poor passenger communication
  • Regulatory compliance challenges

AI-Powered Active Noise Cancellation

SteadyBeat’s solution combines advanced acoustic sensing, edge AI processing, and adaptive noise cancellation to create a comprehensive acoustic management system for rail transit vehicles.

Advanced ANC

Real-time analysis and adaptive noise cancellation algorithms

Multi-Modal Fusion

Acoustic, visual, physiological, and environmental sensors

Edge AI Processing

On-chip inference with <10ms latency, privacy-preserving

How It Works

1

Real-Time Noise Analysis

Multiple acoustic sensors continuously monitor cabin noise, identifying specific frequency patterns from wheel-rail friction, structural resonance, and other sources.
2

Edge AI Processing

SteadyBeat's Edge AI SoC processes acoustic data in real-time, generating precise anti-phase sound waves optimized for the specific noise characteristics detected.
3

Active Noise Cancellation

Strategically placed speakers emit anti-phase sound waves that destructively interfere with unwanted noise, achieving significant reduction in the 50-500Hz range.
4

Continuous Adaptation

The system continuously learns and adapts to changing conditions—speed variations, track conditions, passenger load—ensuring optimal performance throughout the journey.

Key Benefits

Superior Noise Reduction

AI-driven active noise cancellation specifically targets wheel-rail friction and structural resonance, achieving up to 30dB reduction in low-frequency noise where traditional methods fail.

Technical Achievement

Real-time adaptive ANC algorithms with multi-zone control

Cost-Effective Implementation

Lightweight electronic solution eliminates the need for heavy soundproofing materials, reducing vehicle weight and enabling easy retrofitting of existing fleets.

Technical Achievement

Compact edge AI processing with minimal hardware requirements

Enhanced Passenger Experience

Quieter cabin environment reduces passenger fatigue, improves comfort during commutes, and elevates overall service quality perception.

Technical Achievement

Continuous noise monitoring and adaptive optimization

Improved PA System Clarity

By reducing ambient noise, public address systems can operate at lower volumes while maintaining excellent clarity for safety announcements and passenger information.

Technical Achievement

Integrated acoustic environment management

Real-World Applications

See how our technology transforms different rail transit environments

Metro Systems

Situation

Urban metro systems with frequent stops and starts generate significant wheel-rail noise, particularly during acceleration and braking.

Solution

  • Adaptive ANC system continuously monitors and responds to changing noise patterns
  • Real-time processing ensures consistent noise reduction throughout acceleration and braking cycles
  • Multi-zone control targets specific areas within the cabin for optimized performance

Outcome

Passengers experience a quieter, more comfortable commute, leading to higher satisfaction and increased ridership.

High-Speed Rail

Situation

At high speeds, aerodynamic noise and structural vibrations create a challenging acoustic environment.

Solution

  • Multi-zone ANC deployment targets specific noise sources across different cabin sections
  • Edge AI processing ensures real-time adaptation to speed variations and changing conditions
  • Integrated vibration and acoustic sensing for comprehensive noise management

Outcome

Premium passenger experience that justifies higher ticket prices and differentiates the service from competitors.

Light Rail Transit

Situation

Light rail vehicles operating in urban environments face noise from both internal sources and external urban sounds.

Solution

  • Comprehensive acoustic management combining ANC with environmental noise filtering
  • Intelligent PA system integration ensures clear communication without volume escalation
  • Adaptive algorithms distinguish between internal and external noise sources

Outcome

Improved safety through better announcement clarity and enhanced passenger comfort in mixed-traffic environments.

Ready to Transform Your Rail Transit Experience?

Discover how SteadyBeat’s AI-powered noise cancellation can enhance passenger comfort and operational efficiency.

Get StartedContact Our Team