Authors :
Khelan Vaishnav; Rudra Joshi; Parul.H.
Volume/Issue :
Volume 9 - 2024, Issue 11 - November
Google Scholar :
https://shorturl.at/gQQch
Scribd :
https://shorturl.at/G5NpB
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24NOV581
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
The growth of technology and infrastructure
at a rapid pace has made our lives easier. The increased
frequency of road accidents and possible traffic dangers
brought about by newer technologies has resulted in a
significant loss of life and property due to inadequate
emergency facilities and preventive measures. The
greatest hazard to human life is traffic accidents. High
speeds combined with intoxication are the main causes of
many accidents. Vehicle safety and accident prevention
and detection systems are important because they reduce
the number of accidents and the time it takes for an
accident to be recognized, allowing rescue personnel to
attend to injured victims more quickly. This article
presents the MCU-designed Vehicle Tracking and
Accident Detection system along with several accident
avoidance strategies.A prototype of an accident
prevention & detection system using a vibration sensor as
the detector and an ultrasonic sensor, or IR sensor, is to
detect a signal in case of a near collision or a distance
between two vehicles to prevent an accident. Even after
this, if an accident occurs, they send a signal to the
connected microcontroller via the vibration sensor. When
the signal is received, the controller activates the relay,
causing the airbag to deploy and the brakes to
automatically lock. Meanwhile, a message is sent to the
nearest help center, so ambulance service and other aid
can come in the quickest time feasible.A black box gathers
driving information before, during, and after a crash
about the vehicle in which it is installed. The data
collected by the black box includes speed, braking,
acceleration, steering, and airbag deployment. The help
can be provided in areas like vehicle safety, collision
victim care, insurance corporations, vehicle crash
investigations, and improving road conditions through
the automotive black box system, which can reduce death
rates to a significant level. The main aim of this paper is
to include the overview and basics of certain techniques
utilized to prevent, detect accidents, and alert the nearby
help centers for the fastest aid in case of an accident.
Keywords :
MCU, Vehicle Tracking, Microcontroller, Accelerometer Sensor, GSM & GPS Module, Vibration Sensor, Ultrasonic Sensor, IR Sensor. Black Box.
References :
- S.B. Pawar, Digvijay Mahamulkar, Laxmikant Somwanshi ”Vehicle Accident Detection System using GSM and GPS” International Research Journal of Engineering and Technology (IRJET) Volume: 06 Issue: 04 | Apr 2019
- Mr.Dinesh Kumar HSDK , Shreya Gupta, Sumeet Kumar, Sonali Srivastava “Accident Detection and Reporting System Using GPS and GSM Module.” May 2015, Volume 2, Issue 5 JETIR (ISSN-2349-5162)
- Mradul Tiwari, Himanshu Garg, Rahul Kumar Tiwari, Swastik Gupta, Alok Kumar Yadav, Meenakshi Jha “Implementation of Accident Vehicle Tracking System A smart app based tracking system” March 2015Conference: IEEE 2nd International Conference on Knowledge Collaboration in Engineering (ICKCE2015) Coimbatore, Tamil Nadu
- Dakshi Goyal, Divyashree Jena, Jasdeep Kaur, Maninder Kaur “Implementation of Vehicle Tracking and Accident Detection System Design Using MCU with MySQL” International Journal of Scientific & Engineering Research Volume 12, Issue 4, April-2021
- C.Prabha, R. Sunitha, R. Anitha “Automatic Vehicle Accident Detection and Messaging System Using GSM and GPS Modem.” International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering (An ISO 3297: 2007 Certified Organization) Vol. 3, Issue 7, July 2014.
- R. Karthikeyan 1 D.Vijendra Babu “MODERN VEHICLE PROTECTION AND DRIVER MONITORING SYSTEM” International Journal of Pure and Applied Mathematics Volume 119 No. 16 2018.
- Sazan Kamal Sulaiman, Rawshan Nuree Othman “Vehicle Accident-Avoidance System” ResearchGate Article · October 2023
- Ashish Kushwaha, Gaurav Katiyar, &Harshita Katiyar, Hemant Yadav, Saxena ‘GPS And GSM Based Accident Alarm System’ ;National Student Conference On “Advances in Electrical & Information Communication Technology”AEICT-2014 .
- Nirav Thakor, Tanmay Vyas, Divyang Shah; “Automatic Vehicle Accident Detection System Based on ARM &GPS” ;International Journal for Research in Technological Studies ISSN: - Applied (Online) Vol-1, Issue - 1, Dec 2013.
- Dr. C. K. Gomathy, K Rohan , Bandi Mani Kiran Reddy, Dr. V Geetha “ACCIDENT DETECTION AND ALERT SYSTEM” JOURNAL OF ENGINEERING, COMPUTING & ARCHITECTUR May 2022
- UNAIZA ALVI, MUAZZAMA. KHAN, (Senior Member, IEEE), BALAWALSHABIR, ASAD W. MALIK,(Senior Member, IEEE) and MUHAMMAD SHER RAMZAN “A Comprehensive Study on IoT Based Accident Detection Systems for Smart Vehicles” IEEE 2020
- M. U. Ghazi, M. A. K. Khattak ,B. Shabir ,A. W. Malik ,and M. S .Ramzan, “Emergency message dissemination in vehicular networks: A review,” in IEEE Access, vol. 8, pp. 38606–38621, 2020.
- W. Farooq, M. A. Khan, and S. Rehman, “A novel real time framework for cluster based multicast communication in vehicular ad hoc networks,” International Journal of Distributed Sensor Networks (IJDSN), vol. 12, no. 4, 2016, Art .no.8064908.
- Manuja M, Kowshika S, Narmatha S, and Gracy Theresa W, “Iot based automatic accident detection and rescue management in VANET,” SSRG International Journal of Computer Science and Engineering(SSRG IJCSE ) ,Special Issue ICFTESH, pp. 36–41, 2019
- S.Nanda ,H.Joshi, and S.Khairnar, “An IOT based smart system for accident prevention and detection ” in 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA) ,2018,
- V. Ahmed and N. P. Jawarkar, “Design of low cost versatile microcontroller based system using cell phone for accident detection and prevention,” in 2013 6th International Conference on Emerging Trends in Engineering and Technology, Nagpur, 2013,
- T.V.N. Rao and K.R. Yellu, “Preventing drunk driving accidents using iot’’ International Journal of Advanced Research in Computer Science (IJARCS) ,vol.8, no.3.
- P. C, P. Darshini .C, V.G. Shavi, and S. Begum, “Two-wheeler safety system for accident prevention, detection and reporting, International Journal of Engineering and Computer Science (IJECS) vol.7. no.3.
- Raghad Abdulaziz Alnashwan, Malak Omar Mashaabi , Areej Saad Alotaibi, Hala Mohammed Qudaih “IoT Based Accident Prevention System using Machine Learning techniques” King Saud University, Riyadh, Saudi Arabia -February 2023
The growth of technology and infrastructure
at a rapid pace has made our lives easier. The increased
frequency of road accidents and possible traffic dangers
brought about by newer technologies has resulted in a
significant loss of life and property due to inadequate
emergency facilities and preventive measures. The
greatest hazard to human life is traffic accidents. High
speeds combined with intoxication are the main causes of
many accidents. Vehicle safety and accident prevention
and detection systems are important because they reduce
the number of accidents and the time it takes for an
accident to be recognized, allowing rescue personnel to
attend to injured victims more quickly. This article
presents the MCU-designed Vehicle Tracking and
Accident Detection system along with several accident
avoidance strategies.A prototype of an accident
prevention & detection system using a vibration sensor as
the detector and an ultrasonic sensor, or IR sensor, is to
detect a signal in case of a near collision or a distance
between two vehicles to prevent an accident. Even after
this, if an accident occurs, they send a signal to the
connected microcontroller via the vibration sensor. When
the signal is received, the controller activates the relay,
causing the airbag to deploy and the brakes to
automatically lock. Meanwhile, a message is sent to the
nearest help center, so ambulance service and other aid
can come in the quickest time feasible.A black box gathers
driving information before, during, and after a crash
about the vehicle in which it is installed. The data
collected by the black box includes speed, braking,
acceleration, steering, and airbag deployment. The help
can be provided in areas like vehicle safety, collision
victim care, insurance corporations, vehicle crash
investigations, and improving road conditions through
the automotive black box system, which can reduce death
rates to a significant level. The main aim of this paper is
to include the overview and basics of certain techniques
utilized to prevent, detect accidents, and alert the nearby
help centers for the fastest aid in case of an accident.
Keywords :
MCU, Vehicle Tracking, Microcontroller, Accelerometer Sensor, GSM & GPS Module, Vibration Sensor, Ultrasonic Sensor, IR Sensor. Black Box.