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Dumka, A. and Sah, A. (2020) Smart Ambulance Traffic Management System (SATMS)—A Support for Wearable and Implantable Medical Devices. In: Dey, N., Ashour, A.S., Fong, S.J. and Bhatt, C., Eds., Wearable and Implantable Medical Devices, Academic Press, 215-228.
https://doi.org/10.1016/b978-0-12-815369-7.00009-4

has been cited by the following article:

• TITLE: Traffic Signal Optimization Using Matrix Algorithm: A Blockchain Technology and AI Approach

  AUTHORS: Mishaal Ahmed, Faraz Liaquat, Muhammad Ajmal Naz, Manzar Ahmed, Afshaar Ahmed

  KEYWORDS: IoT, Blockchain, Matrix Algorithm, Traffic Congestion

  JOURNAL NAME: Open Access Library Journal, Vol.11 No.12, December 24, 2024

  ABSTRACT: With the exponential growth of the global population, particularly in underdeveloped regions, traffic congestion has become a pressing issue, exacerbated by limited resources and infrastructure. Conventional solutions like constructing new roads face feasibility challenges in third-world countries. In this context, we propose an innovative approach leveraging IoT, blockchain technology, Artificial Intelligence (AI), and sensor technologies for automatic traffic management. The proposed system aims to intelligently detect and respond to changing traffic conditions in real-time, optimizing signal timings to alleviate congestion. Through a comparative analysis, we evaluate the effectiveness of our proposed solution against traditional methods, which are facing many issues at present condition. This research contributes to addressing the escalating traffic challenges in underdeveloped countries, offering a sustainable and efficient approach to mitigate congestion and improve urban mobility.