Skip to main content

Advertisement

Log in

Investigation of the impact of a wireless Fog Warning System with respect to road traffic on a highway

  • Original Article
  • Published:
Personal and Ubiquitous Computing Aims and scope Submit manuscript

Abstract

Sudden visibility reductions on highways due to foggy weather conditions often lead to a drastic increase in car crash risks. Indeed, fog formation distorts drivers’ perception and judgment of inter-vehicular distances, vehicles’ speeds, and braking distances. In order to support drivers in dealing with the impact of fog, various on-board warning systems are being deployed today. Despite their added value, these systems are still in need of efficient solutions supporting smooth vehicle’s acceleration/deceleration profiles. This is to avoid sudden braking (hence, higher car crash risks) incurred by sensor technologies restricted to line of sight measurements. To meet this goal, we advocate in this paper a Wireless Fog Warning System (WFWS) where cooperative awareness messages are disseminated and used for calculating acceleration/deceleration activities. Without loss of generality, we build on IEEE 802.11p WLAN as a basis technology. Using simulations on the open-source vehicular network simulation framework Veins, we demonstrate both the potential of such a system for increasing safety and smoothing traffic flow—as well as of computer simulation as a means of its evaluation.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. B. Hamilon, B. Tefft, L. Arnold and J Grabowski (2014) Hidden highways: fog and traffic crashes on America’s roads. 2014 AAA Foundation for Traffic Safety Report Pp. 1–24

  2. European Commission (2017) 2016 road safety statistics: what is behind the figures, available at: europa.eu/rapid/press-release_MEMO-17-675_en.pdf

  3. Press Information Bureau Government of India Ministry of Road Transport & Highways, available at: http://pib.nic.in/newsite/PrintRelease.aspx?relid=170577

  4. US Department of Transportation Federal Highway Administration (2018) How do weather events impact roads, Available at: https://ops.fhwa.dot.gov/weather/q1_roadimpact.htm

  5. Abdel-Aty M, Ekram A-A, Huang H, Choi K (2011) A study on crashes related to visibility obstruction due to fog and smoke. Accid Anal Prev 43:1730–1737

    Article  Google Scholar 

  6. Kang D, Park D, Cho S (2008) A new fog detection technology by using a current (pA~nA) path on the interior windshield of a vehicle and application, SAE Technical Paper 2008-01-0923

  7. CHO H-J, KIM K-S (2005) Development of hazardous road fog index and its application. J East Asia Soc Transp Stud 6:3357–3371

    Google Scholar 

  8. Creech MF (1972) Fog: a review of the literature pertaining to highway problems and possible solutions, Virginia Highway Research Council Report, pp. 1–10

  9. Jeong Ah Jang, Hyun Suk Kim, Han Byeog Cho (2011) Smart roadside system for driver assistance and safety warnings. framework and applications

  10. Victoria Transport Policy Institute, Autonomous vehicle implementation predictions , 26 January 2018 , Available at : https://www.vtpi.org/avip.pdf

  11. C Grover, I Knight, F Okoro, I Simmons, G Couper, P Massie and B Smith Published project report on automated emergency brake systems, Available at: https://circabc.europa.eu/sd/a/3ab87fdc-5715-4733-af50-c3608034ca56/report_aebs_ en.pdf

  12. Posner MI, Synder CRR (1975) In: Rabbitt PMA, Dornic S (eds) Facilitation and inhibition in the processing of signals, attention and performance. Academic Press, London

    Google Scholar 

  13. Mori K, Takahashi T, Ide I, Murase H, Miyahara T, Tamatsu Y, Fog density recognition by in-vehicle camera and millimeter wave radar (2007) Int J Innov Computing Inf Control ICIC Int 3(5):1173–1182

    Google Scholar 

  14. Hautier N, Tarel JP, Lavenant J, Aubert D (2006) Automatic fog detection and estimation of visibility distance through use of an onboard camera. Mach Vis Appl 17(1):8–20

    Article  Google Scholar 

  15. Mallant RKAM, Kos GPA (1990) An optical device for the detection of clouds and fog. Aerosol Sci Technol 13(2):196–202

    Article  Google Scholar 

  16. Cheryl Lynn (2002) Christopher Schreiner, Ross Campbell, Published project report on reducing fog related crashes. Available at: http://www.virginiadot.org/vtrc/main /online_reports/pdf/03-cr2.pdf

  17. Zador PL, Krawchuk SA, Voas RB (2000) Report on automative collision avoidance systems (ACAS) program. US Department of Transportation

  18. Mobility and Transport Road Safety, European Commision, Available at: https://ec.europa.eu/transport/road_safety/specialist/knowledge/esave/esafety_measures_unknown_safety_effects/collision_avoidance_systems_en

  19. Sivakumar R, Mangalam H (2014) RADAR based vehicle collision avoidance system used in four wheeler auomobile segments, International Journal of Scientific & Engineering Research, volume 5(1)

  20. Sommer C, German R, Dressler F (2011) Bidirectionally coupled network and road traffic simulation for improved IVC analysis. IEEE Trans Mob Comput 10(1):3–15

    Article  Google Scholar 

  21. Krajzewicz D, Erdmann J, Behrisch M, Bieker L (2012) Recent development and applications of SUMO—simulation of urban mobility. Int J Adv Syst Meas 5(3&4):128–138

    Google Scholar 

  22. Treiber, Martin and Hennecke, Ansgar and Helbing, Dirk (2000) Microscopic simulation of congested traffic, Proceedings of Traffic and Granular Flow ‘99, Heidelberg

  23. Meteorological Office (1969) Observers handbook. HMSO ISBN 0-11-400329-7

  24. BonGiovanni T, Shah J (2002) Fog Sensor / ITS Integration, Final Report, FHWA-NJ-2003-031, Department of Civil & Environmental Engineering Rutgers, The State University of New Jersey, pp. 1–67

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fatma Outay.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Outay, F., Ahmar, AUH., Kamoun, F. et al. Investigation of the impact of a wireless Fog Warning System with respect to road traffic on a highway. Pers Ubiquit Comput 23, 893–899 (2019). https://doi.org/10.1007/s00779-018-1151-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00779-018-1151-4

Keywords

Navigation