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A Roadmap for Ubiquitous Crowdsourced Mobile Sensing-Based Bridge Modal Identification.

Liam Cronin¹, Debarshi Sen², Giulia Marasco¹

¹Department of Civil and Environmental Engineering, Lehigh University, 117 ATLSS Dr., Bethlehem, PA 18015, USA.

Sensors (Basel, Switzerland)

|April 26, 2025

Summary

Crowdsourced mobile sensing offers a scalable alternative for bridge modal identification. By analyzing diverse vehicle data, this approach enhances transportation infrastructure monitoring and resilience.

Keywords:

bridge monitoring crowdsourcing mobile sensing ride-share smartphone system identification

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Area of Science:

Civil Engineering
Structural Health Monitoring
Transportation Engineering

Background:

Traditional bridge modal identification relies on fixed sensors, which are costly and lack scalability.
Mobile sensing using smartphones presents a promising, cost-effective alternative for infrastructure monitoring.
Existing methods require further analysis of vehicle dynamics for widespread implementation.

Purpose of the Study:

To explore the potential of crowdsourced mobile sensing for bridge modal identification.
To analyze the impact of diverse vehicle dynamics on vibration data.
To propose a roadmap for implementing mobile sensing in urban transportation infrastructure.

Main Methods:

Leveraging big data from crowdsourced vibration data acquired from smartphones.
Analyzing diverse data streams including passenger cars, buses, bikes, and scooters.
Investigating vehicle dynamics for indirect sensing of bridge responses.

Main Results:

Demonstrated the efficacy of mobile sensing in laboratory and field settings.
Identified the need to quantify data sources for effective bridge modal identification.
Highlighted the potential of dynamically diverse datastreams.

Conclusions:

Crowdsourced mobile sensing is a scalable and effective method for bridge modal identification.
Analyzing diverse vehicle dynamics is crucial for ubiquitous implementation.
This approach can enhance decision-making for transportation infrastructure resilience.