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IETE Journal of Research Volume 69, 2023 - Issue 11
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Computers & Computing

Smart City Vehicle Accident Monitoring and Detection System Using (MEMS, GSM, GPS) Raspberry Pi 4

Ajay Kumar1 Faculty of Computing and Information Technology, Usha Martin University, Ranchi, IndiaCorrespondence[email protected]
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,
Mohammad Amir Khusru Akhtar1 Faculty of Computing and Information Technology, Usha Martin University, Ranchi, IndiaView further author information
,
Abhishek Pandey2 Faculty of Engineering and Applied Science, Usha Martin University, Ranchi, IndiaView further author information
&
Ravi Prakash Srivastava3 Department of Information Technology, North-Eastern Hill University (NEHU), Shillong, Meghalaya, IndiaView further author information
Pages 8121-8129 | Published online: 21 Mar 2022

Citations (3)

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Read on this site (2)

M. Ramya Devi & S. Lokesh. (2024) Intelligent accident detection system by emergency response and disaster management using vehicular fog computing. Automatika 65:1, pages 117-129.
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Pankaj P. Tasgaonkar, Rahul Dev Garg & Pradeep Kumar Garg. (2023) An IoT-based Framework of Vehicle Accident Detection for Smart City. IETE Journal of Research 0:0, pages 1-14.
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Articles from other publishers (1)

Prakash Rosayyan, Jasmine Paul, Senthilkumar Subramaniam & SaravanaIlango Ganesan. (2024) Dead Reckoning in Emergency Vehicle Preemption System Using Deep Output Kernel Learning and Extended Kalman Filter. IETE Journal of Research, pages 1-18.
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