Iot-Based Vehicular Accident Detection Systems

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Mohammadrezaei Mahziar; Pourmohammadhosein Niaky Reza; Shahbazi Fard Hamed; Soltani Taqi Dizaj Behnam

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2020 | Issue:6

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Title

Iot-Based Vehicular Accident Detection Systems

Author(s)

Mohammadrezaei Mahziar | Pourmohammadhosein Niaky Reza | Shahbazi Fard Hamed | Soltani Taqi Dizaj Behnam

Keywords

Internet of Things

smart accident detection system

accident

sensor

GPS

Abstract

smart accident detection systems are systems that automatically detect accidents. IoT (Internet of Things) can connect different hardware, especially sensors, and can do processes using the information received from sensors, which lead to accident detection; and then this information is made available to relevant authorities such as medical emergencies and the police. In this research, some of the most recent methods for car accident detection using IoT technology are investigated and then obstacles, challenges and future trends are analyzed and compared.

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APA: Copy

Mohammadrezaei, Mahziar, Pourmohammadhosein Niaky, Reza, Shahbazi Fard, Hamed, & Soltani Taqi Dizaj, Behnam. (2020). Iot-Based Vehicular Accident Detection Systems. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/949210/en

Vancouver: Copy

Mohammadrezaei Mahziar, Pourmohammadhosein Niaky Reza, Shahbazi Fard Hamed, Soltani Taqi Dizaj Behnam. Iot-Based Vehicular Accident Detection Systems. 2020. Available from: https://sid.ir/paper/949210/en

IEEE: Copy

Mahziar Mohammadrezaei, Reza Pourmohammadhosein Niaky, Hamed Shahbazi Fard, and Behnam Soltani Taqi Dizaj, “Iot-Based Vehicular Accident Detection Systems,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2020, [Online]. Available: https://sid.ir/paper/949210/en

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