Abstract
Technologically the automobile sector is rising fast and the road vehicles on road is stepping up every day. On other hand, the safety of vehicles and riders also matters. We must ensure adequate safety in each vehicle. Our paper aims to provide safety features to a vehicle with real-time location access of the vehicle. Our prototype will consist of features like an accident detection and alert system, drunk driver alert, passenger safety button, and automatic airbag triggering. Various types of modules and sensors has intermixed with Arduino Hardware for making this prototype, such as, accelerometer (ADXL335) sensor to identify accidents, SW420 impact sensor to detect vibration in cars and activate the accident prevention system of the car, MQ3 alcohol sensor to detect whether the driver is drunk or not, GPS and GSM modules to locate car’s location and to send an alert notification/message to its nearest authority.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Krishnan M (2017) India has the highest number of road accidents in the world. Deutsche Welle
Das A, Dhuri V, Desai A, Ail S, Kadam A (2021). Smart car features using embedded systems and IoT. arXiv:2101.00496
Angrula MK, Kaur MN (2019) Car accident detection and reporting system. e-ISSN: 2395-0056
Topinkatti A, Yadav D, Kushwaha VS, Kumari A (2015) Car accident detection system using GPS and GSM. Int J Eng Res Gen Sci 3(3):1025–1033
Prabha C, Sunitha R, Anitha R (2014) Automatic vehicle accident detection and messaging system using GSM and GPS modem. Int J Adv Res Electri Electron Instrum Eng 3(7):10723–10727
Mounika J, Charanjit N, Saitharun B, Vashista B (2021) Accident alert and vehicle tracking system using GPS and GSM. As J Appl Sci Technol (AJAST) 5:81–89
Sivanantham N, Dinakaran A, Sujith M (2021) Arduino based footboard accident prevention system for electric locomotives. In: Advances in science and technology, vol 105, Trans Tech Publications Ltd, pp. 172–178
Sharma S, Sebastian S (2019) IoT based car accident detection and notification algorithm for general road accidents. Int J Electri Comput Eng 9(5):2088–8708
Selvaraj S, Umakanth N (2021) Providing safety and detecting accidents in bike transport with smart helmets using IoT. In: Handbook of research on decision sciences and applications in the transportation sector. IGI Global, pp 280–303
Kumar AS, Amith N, Jagadeesan A, Bhat V, Kumar S (2021) Smart vehicle accident detection system. In: 2021 international conference on design innovations for 3Cs compute communicate control (ICDI3C). IEEE, pp 51–54
Almohsen MK, Alanazi TH, BinSaif SN (2021) Smart car seat belt: accident detection and emergency services in smart city environment. In: 2021 1st International conference on artificial intelligence and data analytics (CAIDA). IEEE, pp 109–114
Mandal R. et al. (2022) City traffic speed characterization based on city road surface quality. In: Tavares JMRS, Dutta P, Dutta S, Samanta D. (eds) Cyber intelligence and information retrieval. Lecture notes in networks and systems, vol 291. Springer, Singapore. https://doi.org/10.1007/978-981-16-4284-5_45
Goyal SB, Bedi P, Kumar J (2022) Realtime accident detection and alarm generation system over IoT. In: Multimedia technologies in the internet of things environment, vol 2 Springer, Singapore, pp 105–126
Agarwal N, Jangid A, Sharma A, Kumar N, Kumar M, Kumar P, Chakraborty P. (2021) Camera-based smart traffic state detection in india using deep learning models. In: 2021 International conference on communication systems & networks (COMSNETS). IEEE pp 690–696
Dutta M, Mondal S, Chakraborty S, Chakraborty A (2020) A human intention detector—an application of sentiment analysis. In: Emerging technology in modelling and graphics. Springer, Singapore, pp 659–666
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Ghosh, S., Maity, S., Chowdhury, S., Chakraborty, S. (2023). Smart Car with Safety Features and Accident Detection Alert System. In: Dutta, P., Chakrabarti, S., Bhattacharya, A., Dutta, S., Piuri, V. (eds) Emerging Technologies in Data Mining and Information Security. Lecture Notes in Networks and Systems, vol 491. Springer, Singapore. https://doi.org/10.1007/978-981-19-4193-1_35
Download citation
DOI: https://doi.org/10.1007/978-981-19-4193-1_35
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-4192-4
Online ISBN: 978-981-19-4193-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)