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Application of Mobile Signal Processing in the Traffic
- 1 Santa Claudia University of Barcelona
* Author to whom correspondence should be addressed.
Abstract
The application of mobile signal processing in traffic management presents a transformative approach to addressing urban mobility challenges. By leveraging real-time data from mobile devices, transportation authorities gain insights into traffic conditions, enabling efficient, safer, and sustainable transportation networks. Mobile signal processing enables real-time traffic flow monitoring, dynamic route optimization, incident detection, and smart parking management. Moreover, it contributes to public transportation optimization. Despite challenges like data accuracy and privacy concerns, mobile signal processing offers significant opportunities for improving urban mobility. Addressing these challenges through robust data governance and strategic investments can realize its transformative potential, leading to smarter, safer, and more efficient urban mobility systems.
Keywords
Urban Mobility, Mobile Signal Processing, Traffic Management
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Cite this article
Andreas,M. (2024). Application of Mobile Signal Processing in the Traffic. Journal of Advances in Signal Processing-Test,1(1),18-20.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Journal：Journal of Advances in Signal Processing-Test
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