Anti-fog System for High Speed Vehicles Using WI-FI
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Smog is considered as a serious worldwide problem especially in Asian countries resulting sometimes in fatal injuries. Wireless communication can play a vital role in solving this problem effectively. In this paper, a novel offline system is proposed and designed to drive the vehicles safely in a dense smoggy atmosphere where nothing is visible to the driver. The system utilizes off the shelf wireless fidelity modules operating in station mode for moving vehicles and access point mode for immobile vehicles to enable the driver to drive along a smoggy path in case if any vehicle is stopped on the motorway due to any reason (accident, car breakdown etc.) along with the use of node microcontroller unit, ultrasonic sensors and accelerometer. Ultra Sonic sensors installed on vehicle show the distance of front objects to let him drive safely. Additionally, an android application is also designed so that the users having an Internet resource can see road hazards (speed breakers, potholes, debris etc) ahead. The K-means clustering method using elbow technique is used to analyze the mobile phone’s global positioning system coordinates and speed of vehicle to do effective road monitoring. The proposed system would not only be helpful for the drivers to drive smoothly on the road in foggy environment and avoid unforeseen catastrophes but can also be used for effective road monitoring.
KeywordsSmog Wireless communication Alert system Smooth driving Road hazards Accident prevention Android application
- 1.Smog in Pakistan causing accidents, illness and flight disruption. https://gulfnews.com/news/asia/pakistan/smog-in-pakistan-causing-accidents-illness-and-flight-disruption-1.2120678. Accessed 11 Aug 2018.
- 2.Blinding smog causes 24-vehicle pile-up on expressway near Delhi. https://www.ndtv.com/delhi-news/delhis-toxic-smog-leads-to-24-car-accident-on-yamuna-expressway-1772758. Accessed 11 Aug 2018.
- 3.Smog triggers 30% rise in road accidents in 2 days. https://timesofindia.indiatimes.com/city/lucknow/smog-triggers-30-rise-in-road-accidents-in-2-days/articleshow/61572590.cms. Accessed 11 Aug 2018.
- 5.Singh, A., & Sood, D. (2017). A review on influence of fog on road crash. International Journal of Engineering Research Technology (IJERT), 6, 671676.Google Scholar
- 6.Zenon Chaczko, F. J., & Ahmed, B. (2017). Road vehicle alert system using iot. In 25th international conference on systems engineering (pp. 488–493). IEEE.Google Scholar
- 7.Harini, S., Abhiram, V., Hegde, R., Samarth, B. D., Shreyas, S. A. & Gowranga, K. H. (2017). A smart driver alert system for vehicle traffic using image detection and recognition technique. In 2nd IEEE international conference on recent trends in electronics, information and communication technology (RTEICT) (pp. 1540–1543), Bangalore. IEEE.Google Scholar
- 8.Singhal, S. A., & Tomar, R. (2016). Intelligent accident management system using iot and cloud computing. In 2nd international conference on next generation computing technologies (NGCT) (pp. 89–92), Dehradun. IEEE.Google Scholar
- 9.Ghazal, B., ElKhatib, K., Chahine, K., & Kherfan, M. (2016). Smart traffic light control system. In Third international conference on electrical, electronics, computer engineering and their applications (EECEA) (pp. 140–145), Beirut. IEEE.Google Scholar
- 10.Mohammed Abdu Waheed, Sl. (2016). Conventional approach to night time visibility analysis and estimation method in the presence of dense fog and halo characteristics. International Journal of Innovative Science, Engineering Technology, 3, 449454.Google Scholar
- 11.Malagund, K. B., Mahalank, S. N., & Banakar, R. M. (2016). Iot based smart city traffic alert system design. In International conference on computing communication control and automation (ICCUBEA) (pp. 1–6), Pune. IEEE.Google Scholar
- 12.Nale, S. B. (2015). Intelligent energy efficient traffic safety & alert system. In International conference on pervasive computing (ICPC) (pp. 1–4), Pune. IEEE.Google Scholar
- 13.Tarel, J.-P., Brėmond, R., Dumont, E., & Joulan, K. (2015). Comparison between optical and computer vision estimates of visibility in daytime fog. In Proceedings of 28th CIE session 2015 (pp. 610–617).Google Scholar
- 14.Vamsee Krishna Kiran, M., Vimalkumar, K., Vinodhini, R. E., & Archanaa, R. (2017). An early detection-warning system to identify speed breakers and bumpy roads using sensors in smartphones. International Journal of Electrical and Computer Engineering, 7, 1377–1384.Google Scholar
- 16.Reddy, V., & Nagesh, B. S. (2016). Smart phone based speed breaker early warning system.Google Scholar