تقرير
Efficient Sensors Selection for Traffic Flow Monitoring: An Overview of Model-Based Techniques leveraging Network Observability
| العنوان: | Efficient Sensors Selection for Traffic Flow Monitoring: An Overview of Model-Based Techniques leveraging Network Observability |
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| المؤلفون: | Fabris, Marco, Ceccato, Riccardo, Zanella, Andrea |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Networking and Internet Architecture, Electrical Engineering and Systems Science - Systems and Control |
| الوصف: | The emergence of 6G-enabled Internet of Vehicles (IoV) promises to revolutionize mobility and connectivity, integrating vehicles into a mobile Internet-of-Things (IoT)-oriented wireless sensor network (WSN). 5G technologies and mobile edge computing further support this vision by facilitating real-time connectivity and empowering massive access to the Internet. In this context, IoT-oriented WSNs play a crucial role in intelligent transportation systems, offering affordable alternatives for traffic monitoring and management. This paper's contribution is twofold: (i) surveying state-of-the-art model-based techniques for efficient sensor selection in traffic flow monitoring, emphasizing challenges of sensor placement; and (ii) advocating for data-driven methodologies to enhance sensor deployment efficacy and traffic modeling accuracy. Further considerations underscore the importance of data-driven approaches for adaptive transportation systems aligned with the IoV paradigm. Comment: 5 pages, 0 figures, submitted to the EuCNC & 6G Summit, Antwerp, Belgium, 3-6 June, 2024 |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2404.08588 |
| رقم الأكسشن: | edsarx.2404.08588 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |