Nothing Special   »   [go: up one dir, main page]
Skip to main content

Advertisement

Springer Nature Link
Log in

Anti-fog System for High Speed Vehicles Using WI-FI

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  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.

  4. Chaabani, H., Kamoun, F., Bargaoui, H., & Outay, F. (2017). A neural network approach to visibility range estimation under foggy weather conditions. Procedia Computer Science, 113, 466–471.

    Article  Google Scholar 

  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.

  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.

  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.

  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.

  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.

  12. Nale, S. B. (2015). Intelligent energy efficient traffic safety & alert system. In International conference on pervasive computing (ICPC) (pp. 1–4), Pune. IEEE.

  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).

  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 

  15. Madli, R., Hebbar, S., Pattar, P., & Golla, V. (2015). Automatic detection and notification of potholes and humps on roads to aid drivers. IEEE Sensors Journal, 15, 4313–4318.

    Article  Google Scholar 

  16. Reddy, V., & Nagesh, B. S. (2016). Smart phone based speed breaker early warning system.

Download references

Author information

Authors and Affiliations

  1. Department of Telecommunication Engineering, MUET, Jamshoro, Pakistan

    Ghulam Fiza Mirza, A. W. Umrani, Abdul Razzaque Jawad, Nafeesa Bohra, B. S. Chowdhry & Fahim Aziz Umrani

Authors
  1. Ghulam Fiza Mirza
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. W. Umrani
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Abdul Razzaque Jawad
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Nafeesa Bohra
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. B. S. Chowdhry
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Fahim Aziz Umrani
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ghulam Fiza Mirza.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mirza, G.F., Umrani, A.W., Jawad, A.R. et al. Anti-fog System for High Speed Vehicles Using WI-FI. Wireless Pers Commun 106, 71–83 (2019). https://doi.org/10.1007/s11277-019-06263-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-019-06263-8

Keywords

Search

Navigation