Abstract
One of the major cause for accidents is distraction. The risks of accidents increase because of attending to calls be it using Bluetooth devices or voice assisted calling. Existing solutions provide several apps providing modes like driving, home, office etc., where you can configure various do not disturb settings on the phone. However, these solutions only have option to turn off calling mode during driving. We present an innovative app and model using mobile sensors, crowd-sourced data, web services and feed, for smartly handling the calls. The proposed app will automatically put the phone in Do Not Disturb or Calling mode by smartly detecting unfavorable/favorable circumstances respectively. We present variance thresholding based approach on accelerometer data to sense the driving behavior and classify a situation as safe or unsafe to make or receive a call. Secondly, we provide a framework to connect to various services or apps and collect data to track historical data of accidents in the vicinity. Finally, we provide driver analytics and driving performance scores to incentivize safe driving practices.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Fazeen Md, Gozick Md, Dantu R, Bhukhiya M, Marta CG (2012) Safe driving using mobile phones, 19 March 2012. IEEE Trans. Intell. Transp. Syst. 13(3, Sept.):1462–1468
Langle L, Dantu R (2009) Are you a safe driver? 2009 international conference on computational science and engineering. https://doi.org/10.1109/cse.2009.331
Nicholas DL, Emiliano M, Lu H, Daniel P, Tanzeem Ch, Andrew TC (2010) Dartmouth college, a survey of mobile phone sensing. IEEE Communications Magazine, pp 140–150, September
Mohan P, Padmanabhan VN, Ramjee R (2008) Nericell: rich monitoring of road and traffic conditions using mobile smartphones. Proceedings of the 6th ACM conference on embedded network sensor systems – SenSys’08. https://doi.org/10.1145/1460412.1460444
Oviedo-Trespalacios O, Haque MM, King M, Washington S (2016) Understanding the impacts of mobile phone distraction on driving performance: a systematic review. Trans. Res. Part C: Emerg. Technol. 72:360–380. https://doi.org/10.1016/j.trc.2016.10.006
Fazeen M, Gozick B, Dantu R, Bhukhiya M, González MC (2012) Safe driving using mobile phones. IEEE Trans. Intell. Transp. Syst. 13(3):1462–1468. https://doi.org/10.1109/tits.2012.2187640
Thomas AD, Feng G, Lee S, Jonathan FA, Miguel P, Mindy B, Jonathan H (2016) PNAS March 8, 2016, 113(10):2636–2641, February 22
Redelmeier DA, Tibshirani RJ (1997) Association between cellular telephone calls and motor vehicle collisions. New Engl. J Med. 236:453–458
Saifuzzaman Md, Haque MdM, Zheng Z, Washington S (2015) Impact of mobile phone use on car-following behaviour of young drivers. Accid. Anal. Prev. 82:10–19
Statistics data on road accidents from 2013 to 2016. http://www.data.gov.in/. Accessed 7 Jan 2019
iOS 11 driving mode: https://metro.co.uk/2017/09/20/how-to-use-ios-11-driving-mode-6941730/. Accessed 7 Jan 2019
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Tummalapalli, H., RaviTeja, P.N.V., Raavi, T., Reddy, N.S., Chekka, S., Dayal, A. (2020). Safe Drive – Enabling Smart Do not Disturb on Mobile and Tracking Driving Behavior. In: Satapathy, S.C., Raju, K.S., Shyamala, K., Krishna, D.R., Favorskaya, M.N. (eds) Advances in Decision Sciences, Image Processing, Security and Computer Vision. ICETE 2019. Learning and Analytics in Intelligent Systems, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-030-24322-7_26
Download citation
DOI: https://doi.org/10.1007/978-3-030-24322-7_26
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-24321-0
Online ISBN: 978-3-030-24322-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)