skip to main content
research-article

Automatic Accident Detection System Using IoT Compared to the Systems that a Traffic Centre Uses for Accident Detection

Published: 12 April 2024 Publication History

Abstract

In recent years, vehicle traffic has become a major issue with a significant increase in the number of vehicles, leading to congestion on urban roads and motorways. This has resulted in an increase in accidents, causing more injuries and fatalities. There are many steps in managing an accident, it can be said assuring that one of the most important steps is the rapid detection of the incident and its exact location. Quick and accurate information enables emergency services to act quickly at the incident location and reduce their response times. This paper tries to compare the automatic accident detection system with traditional traffic center systems and analyze the importance of implementing this system to reduce accident detection times and accurately detect their location. The detection of the accident time and its location are crucial links in the accident management chain.

References

[1]
Z Andrea, V. Lorenzo, Internet of Things for Smart Cities, IEEE Internet of Things Journal 1 (1) (2014) vol/issueFeb.
[2]
K. Isna, S.D. Sawant, Integration of Cloud Computing and Internet of Things, International Journal of Advanced Research in Computer and Communication Engineering 5 (4) (2016) vol/issueApr.
[3]
S. Shivani, S. Shoney, IoT Based Car Accident Detection and Notification Algorithm for General Road Accidents, International Journal of electrical and Computer Engineering (IJECE) 9 (2019) 4020–4026. Oct.
[4]
S.S. Thomas, S. Gupta, V.K. Subramanian, Event Detection on Roads Using Perceptual Video Summarization, IEEE Trans. Intell. Transp. Syst. 19 (2018) 2944–2954.
[5]
Z. Zhang, Traffic Event Detection from Consumer Vehicle Sensor Data: An Autonomous Vehicle Study, Transp. Res. Rec. (2022).
[6]
V.T. Ta, A. Dvir, A Secure Road Traffic Congestion Detection and Notification Concept Based on V2I Communications, Veh. Common 25 (2020).
[7]
A. Bhaskar, E. Chung, Fundamental Understanding on the Use of Bluetooth Scanner as a Complementary Transport Data, Transp. Res. Part C Emerg. Technol. 37 (2013) 42–72.
[8]
Saunders, Harry (2009) “Theoretical Foundations of the Rebound Effect”', in Joanne Evans and Lester Hunt (eds) International Handbook on the Economics of Energy, Cheltenham, Edward Elgar
[9]
E. D'Andrea, F. Marcelloni, Detection of Traffic Congestion and Incidents from GPS Trace Analysis, Expert Syst. Appl. 73 (2017) 43–56.
[10]
K. Zhang, J. Kianfar, An Automatic Incident Detection Method for a Vehicle -to-Infrastructure Communication Environment: Case Study of Interstate 64 in Missouri, Sensors 22 (2022) 9197,.
[11]
M. Ozbayoglu, G. Kucukayan, E. Dogdu, A Real-Time Autonomous Highway Accident Detection Model Based on Big Data Processing and Computational Intelligence, Institute of Electrical and Electronics Engineers (2017),. Feb.
[12]
S.R Aishwarya, Ashish Rai, Prasanth M.A Charitha, S.C Savitha, An IoT based vehicle accident prevention and tracking System for night drivers, International Journal of Innovative Research in Computer and Communication Engineering 3 (4) (2015) 3493–3499.
[13]
Bhagyashree Jagadish Nikharge Shabrin, Maithri M Poojary, T Pooja, B Sadhana, Smart helmetintelligentsafety for motorcyclist using raspberry pi and open CV, International Research Journal of Engineering and Technology (IRJET) 3 (3) (2016) 589–593.
[14]
Namrata H. Sane, Damini S. Patil, Snehal D. Thakare, Aditi V. Rokade, Real Time Vehicle Accident Detection and Tracking Using GPS and GSM, International Journal on Recent and Innovation Trends in Computing and Communication 4 (4) (2016) 479–482.
[15]
Shailesh Bhavthankar, H.G. Sayyed, Wireless System for Vehicle Accident Detection and Reporting using Accelerometer and GPS, International Journal of Scientific & Engineering Research 6 (8) (2015) 1069–1072.
[16]
Jagdish A. Patel, Aringale Shubhangi, Shweta Joshi, Aarti Pawar, Namrata Bari, Raspberry Pi based smart home, Proc. IEEE 6 (3) (2016) 2321–2361.
[17]
E Krishna Priya, P Manju, V Mythra, S Umamaheswari, IoT Based Vehicle Tracking and Accident Detection System, International Journal of Innovative Research in Computer and Communication Engineering 5 (3) (2017) 4424–4430.
[18]
G Arun Francis, S K Dharani, P Manikandan, R J Monica, S K Vaishahi, IOT based Accident Identification and Alerting System, International Journal of Pure and Applied Mathematics 118 (20) (2018) 547–551.
[19]
N Harish Kumar, G Deepak, Accident Detection and Intelligent Navigation System for Emergency vehicles in Urban Areas using IoT, International Journal of Engineering and Techniques 3 (6) (2017) 330–334.
[20]
S. Suganya, T. Divya, M. Subha Sankari, P. Gomathi, Tracking down the Vehicle Collision Detection and Messaging System using GPS and GSM, International Journal of Engineering Research & Science (IJOER) 4 (3) (2018) 61–66.
[21]
J. Ramasamy, An Intelligent Accident Detection Information System Using IoT, International Journal of Engineering and Advanced Technology 9 (1) (2019) ISSN: 2249-8958Oct.
[22]
Traffic Volume Data (Unpublished Raw Data), Aegean Motorway (2022).
[23]
M. Baballe Ahmad, Accident Detection and Alerting systems: A Review, Global Journal of Research in Engineering and Computer Sciences 2 (4) (2022) ISSN: 2583-2727Aug.
[24]
M.N. Mahama, E. Kenu, D.A. Bandoh, A.N. Zakariah, Emergency response time and pre-hospital trauma survival rate of the national ambulance service, Greater Accra (January – December 2014), BMC Emerg Med 18 (1) (2018) 33,. Dec.
[25]
Natalia Kryvinska, Aneta Poniszewska-Maranda, Michal Gregus, An Approach towards Service System Building for Road Traffic Signs Detection and Recognition, Procedia Computer Science 141 (2018) 64–71. PagesISSN 1877-0509.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image Procedia Computer Science
Procedia Computer Science  Volume 231, Issue C
2024
805 pages
ISSN:1877-0509
EISSN:1877-0509
Issue’s Table of Contents

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 12 April 2024

Author Tags

  1. Traffic Safety
  2. Accident Detection
  3. Repsonse times;Accidnet Management
  4. Emergency Services

Qualifiers

  • Research-article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 0
    Total Downloads
  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 15 Sep 2024

Other Metrics

Citations

View Options

View options

Get Access

Login options

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media