Safe Drive – Enabling Smart Do not Disturb on Mobile and Tracking Driving Behavior

  • Hiranmai TummalapalliEmail author
  • P. N. V. RaviTeja
  • Tanay Raavi
  • Naga Satish Reddy
  • Srujan Chekka
  • Abhinav Dayal
Conference paper
Part of the Learning and Analytics in Intelligent Systems book series (LAIS, volume 3)


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.


Accelerometers Smartphones Safe driving Call management 


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Hiranmai Tummalapalli
    • 1
    Email author
  • P. N. V. RaviTeja
    • 1
  • Tanay Raavi
    • 1
  • Naga Satish Reddy
    • 2
  • Srujan Chekka
    • 3
  • Abhinav Dayal
    • 1
  1. 1.Vishnu Institute of TechnologyBhimavaramIndia
  2. 2.Concordia UniversityMontrealCanada
  3. 3.Tech Mahindra, InfocityHitech City, HyderabadIndia

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