Mobile Phone Accidents - Experience Of India

Open access

Mobile Phone Accidents - Experience Of India

Every year nearly 1.4 million people have been killed because of they are wireless customers and their over-bearing cell phones. While in India, an estimated 1.35 lakhs person died due to road accident in 2010, which is approximately 10% of road accident fatalities worldwide and these figures are the highest in the world. But still no research has been carried out to find the number of drivers using cell phone involved in road accident and very limited efforts has been carried out to prevent accident due to cell phone usage. To our knowledge this is the first survey carried out in India to determine the number of drivers involved in an accident due to mobile phone use. With the aim of preventing such accidents, it is proposed to develop a highly efficient automatic system for early detection of incoming and outgoing call, by placing an antenna along with mobile detection unit above the driver seat. This unit is capable of distinguishing whether the cell phone used either by the driver or by the passenger, if the driver uses of cell phone is detected, a safety application named Cellphone Accident Preventer (C.A.P.) which is developed using J2ME will be automatically load on the driver's cell phone which helps in eliminating the risk of accidents from occurring, at the same time ensuring that the user does not miss any emergency call. The research has been extended to show how far the system will help in preventing accidents and to what extent this system will help in reducing the Indian economic loss incurred unnecessarily due to road accident fatalities.

Healey, J. A., Picard, R. W. (2005). Detecting stress during real-world driving tasks using physiological sensors. IEEE Transactions on Intelligent Transportation Systems, 6(2), 156-166.

McCartt, A. T., Hellinga, L. A., Bratiman, K. A. (2006). Cell Phones and Driving: Review of Research. Traffic Injury Prevention, 7, 89-106.

McEvoy, Suzanne P., Stevenson, Mark R., McCartt, Anne T. et al. (2005). Role of Mobile Phones in Motor Vehicle Crashes Resulting in Hospital Attendance: A Case-Crossover Study. British Medical Journal, 331(7514), 428-430.

Walsha, Shari P., Whitea, Katherine M., Hydea Melissa K., Watsonb, Barry. (2008). Dialling and driving: factors influencing intentions to use a mobile phone while driving. Accident Analysis & Prevention, 40(6), 1893-1900.

Lee, John D., McGehee, Daniel V., Brown, Timothy L., Reyes, Michelle L. (2002). Collision warning timing, driver distraction, and driver response to imminent rear-end collisions in a high-fidelity driving simulator. Human Factors, 44(2), 314-334.

Shabeer, H. A., Wahidabanu, R. S. D. (2009). Automatic Switching of Mobile Phone Profile Based on Current Speed of the Vehicle and Mobile Phone Security. CiiT International Journal of Wireless Communication, August 2009, 78-86.

Redelmeier, D. A., Tibshirani, R. J. Association between cellular-telephone calls and motor vehicle collisions. New England Journal of Medicine, 336, 453-458.

Jie Yang, Simon Sidhom, Gayathri Chandrasekaran, Tam Vu, Hongbo Liu, Nicolae Cecan, Yingying Chen, Gruteser, Marco, Martin, Richard P. (2011). Detecting driver phone use leveraging car speakers. In Proceedings of the International Conference on Mobile Computing and Networking, September 19-23 (pp. 97-108). Las Vegas, Nevada, USA.

Hon Lung Chu, Vijay Raman, Jeffrey Shen, Romit Roy Choudhury, Aman Kansal and Bahl, Victor. (2011). In-Vehicle Driver Detection Using Mobile Phone Sensors. In Proceedings of the International Conference on Mobile Systems, Applications and Services, June 28th -July 1st. Washington, USA.

Amardeep Sathyanarayana, Sandhya Nageswaren and Hassan Ghasemzadeh. (2008). Body sensor networks for driver distraction identification. In Proceedings of the IEEE International Conference on Vehicular Electronics and Safety, September 22-24 (pp. 120-125). Columbus Ohio, USA: IEEE.

McCall, J. C., Mallick, S. P., Trivedi, M. M. (2003). Real-time Driver Affect Analysis and Televiewing System. In Proceedings of the IEEE Intelligent Vehicles Symposium, June 9-11 (pp. 372-377). Columbus Ohio, USA: IEEE.

Huang, K, Trivedi, M. M. (2003). Driver Head Pose and View Estimation with Single Omnidirectional Video Stream. In Proceedings of the 3rd International Conference on Computer Vision Systems, April 3 (pp. 44-51). Graz, Austria: IEEE.

Sharon, T., Selker, T, Wagner, L., Frank, A. J. (2005). Car Coach: A Generalized Layered Architecture for Educational Car Systems. In Proceedings of the IEEE International Conference on Software-Science, Technology, Engineering, February 22-23 (pp. 13-22). Herzelia, Israel: IEEE.

McCall, J. C., Achler, O., Trivedi, M. M. (2004). Design of an Instrumented Vehicle Test Bed for Developing a Human Centered Driver Support System. In Proceedings of the IEEE Intelligent Vehicles Symposium, June 14-17 (pp. 483-488). Parma, Italy: IEEE.

Harbluk, J. L., Noy, Y. I., Eizeman, M. (2002). The impact of cognitive distraction on driver visual behaviour and vehicle control. Canada: Road Safety Directorate and Motor Vehicle Regulation.

Strayer, D. L., Drews, F. A. and Johnston, W. A. (2003). Cell phone-induced failures of visual attention during simulated driving. Journal of Experimental Psychology: Applied, 9(1), 23-32.

Crundall, D., Bains, M., Chapman, P. and Underwood, G. (2005). Regulating conversation during driving: A problem for mobile telephone? Transport Research Part F, 8(3), 197-211.

James, N. (2011). Don't Be Distracted about Distracted Driving. Quarterly Review of Advanced Risk Management Strategies, 25(3), 24-31.

Azman, A., Meng, Q. and Edirisinghe, E. (2010). Correlation between eye movements and mouth movements to detect driver cognitive distraction. In Proceedings of the International Conference: Brain Inspired Cognitive Systems (BICS), 16th July 2010. Madrid, Spain.

Rongben, W., Lie, G., Bingliang, T. and Lisheng, J. (2004). Monitoring mouth movement for driver fatigue or distraction with one camera. In IEEE Intelligent Transportation Systems, October 3-6, (pp. 314-319). Washington, D. C, USA: IEEE.

Hayhoe, M. M. (2004). Advances in relating eye movements and cognition. Infancy, 6(2), 267-274.

Liang, Y., Lee, J. D. and Reyes, M. L. (2007). Non-intrusive detection of driver cognitive distraction in real-time using Bayesian networks. Journal of the Transportation Research Board, 2018, 1-8.

Fisher, L. D., Knodler, M. and Muttart, J. (2009). Driver-Eye-Movement-Based Investigation for Improving Work-Zone Safety. England: The New England Transportation Consortium.

Pohl, J., Birk, W. and Westervall, L. (2007). A driver-distraction-based lane-keeping assistance system": Proceedings of the Institution of Mechanical Engineers, Part I. Journal of Systems and Control Engineering, 221(14), 541-552.

Takemura, K., Ido, J., Matsumoto, Y. and Ogasawara, T. (2003). Development of Non-contact drive monitoring system for advanced safety vehicle: IEEE/ASME Proceedings of the International Conference ‘Advanced Intelligent Mechatronics’, July 20-24 (pp. 1119-1122). Kobe, Japan: IEEE

Wesley, A., Shastri, D. and Pavlidis, I. (2010). A Novel method to monitor driver's distractions. In Proceedings of the International Conference: Human Factors in Computing Systems (CHI), April 10-15 (pp. 4273-4278). Atlanta, Georgia: ACM.

Smith, P., Shah, M. and Vitoria, N. L. (2003). Determining driver visual attention with one camera. IEEE Transaction Intelligent Transportation Systems, 4(4), 2058-2218.

Jannette, M. and Mark, V. (2009). Comparison of manual vs. speech-based interaction with in-vehicle information systems. Accident Analysis and Prevention, 41(5), 924-930.

Gellatly, A. and Dingus, T. (1998). Speech Recognition and Automotive Applications: Using Speech to Perform In-Vehicle Tasks. In Proceedings of the International Conference: Human Factors '98, October 5-9 (pp. 1247-1251). Santa Monica, CA: Human Factors and Ergonomics.

Liang, Y., Lee, J. D. and Reyes, M. L. (2007). Non-intrusive detection of driver cognitive distraction in real-time using Bayesian networks. Journal of the Transportation Research Board, 2018, 1-8.

Liang, Y., Reyes, M. L. and Lee, J. D. (2007a). Real-time detection of driver cognitive distraction using Support Vector Machines. IEEE Intelligent Transportation Systems, 8(2), 340-350.

Zhang, Y., Owechko, Y. and Zhang, J. (2007). Driver cognitive workload estimation: a data-driven perspective: IEEE Proceedings of the International Conference. In Intelligent Transportation Systems (pp. 642-647). Washington, D. C., USA: IEEE.

Green, P. (1999). Visual and Task Demands of Driver Information Systems. Ann Arbor, Michigan, USA: University of Michigan, Transportation Research Institute.

Abdul Shabeer, H. and Wahida Banu, R. S. D (2011). A Novel Approach to Avoid Mobile Phone Accidents While Driving and Cost- Effective Fatalities. International Journal of Interdisciplinary Telecommunication and Networking, 3(3), 29-39.

Janne, L. and Jason, H. (2011). Undistracted Driving: A Mobile Phone that Doesn't Distract. In Proceedings of the 12th Workshop on Mobile Computing Systems and Applications, March 1-2 (pp. 146-154). Phoenix, Arizona, USA: ACM.

Stewart, Marie. (2010). Sensing motion in a mobile phone and limiting functionality of moving phones. USA: USA Distracted Driving Foundation.

Klauer, S. G., Dingus, T. A., Neale, V. L., Sudweeks, J. D. and Ramsey, D. J. (2006). The impact of driver inattention on near-crash risk: An analysis using the 100-car naturalistic driving study data. Washington, DC: National Highway Traffic Safety Administration.

Use of the mobile phone while driving. SWOV Fact Sheet. (2010). Leidschendam, the Netherlands.

National Center for Statistics and Analysis. (2009). Driver electronic device use in 2008. Traffic Safety Facts Research Note (DOT HS 811 184). Washington, DC: National Highway Traffic Safety Administration.

Scott, David A. Hands-free phones just as dangerous in Cars. Retrieved July 6, 2011, from

Ogg, Erica. Cell phones as dangerous as drunk driving. Retrieved July 1, 2006, from

Benton, Joe. Cell Phone No. 1 Driver Distraction Retrieved April 20, 2006, from

Times of India. Article. Road accidents cost India Rs 1 lakh crore a year. Retrieved October 4, 2011, from

Kent, Peter. Cell Phone and Automobile Accidents on the Rise. Retrieved April 18, 2008, from

Thaindian News. Article. Strong link between mobile use and road accidents found. Retrieved September 15, 2008, from

Deutsche Welle. India has the highest number of road accidents in the world. Retrieved April 30, 2010, from

Dipak Kumar Dash. India leads world in road deaths: WHO. Retrieved August 17, 2009, from

Transport and Telecommunication Journal

The Journal of Transport and Telecommunication Institute

Journal Information

Cite Score 2017: 1.21

SCImago Journal Rank (SJR) 2017: 0.294
Source Normalized Impact per Paper (SNIP) 2017: 1.539


All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 1447 1447 58
PDF Downloads 441 441 27