Skip to main content
SpringerLink
Log in

Relationship Between Car Color and Car Accident on the Basis of Chromatic Aberration

  • Chapter
  • First Online:
Future Information Communication Technology and Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 235))

Abstract

In choosing a car, we consider car performance, design, price, and safety as the most important things without reference to accident occurrence probability. We first studied on the concepts of advancing color and receding color as well as relationships with car accidents. Consequently, advancing color causes less accidents since the color looks closer than it actually is. And receding color causes more accidents since the color looks farther than it actually is. And we classified car colors into seven ones such as black, white, blue, green, silver, red, and yellow. Each representative color includes its detailed colors corresponding to its domain. We also proposed accident occurrence probabilities ordered by each color. The descending order is blue, green, white, red, black, silver, and yellow. The rate of relationship with 74.64 % is high than that of disrelationship with 25.36 %.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Newstead S, D’Elia A (2007) An investigation into the relationship between vehicle colour and crash risk, accident research centre. report no. 263, Monash University, Clayton

    Google Scholar 

  2. Furness S, Connor J, Robinson E, Norton R, Ameratunga S, Jackson R (2003) Car colour and risk of car crash injury: population based case control study. BMJ 327:20–27

    Google Scholar 

  3. Owusu-Ansah SO (2010) Investigation of the relationship between vehicle color and safety. University of Dayton, Dayton

    Google Scholar 

  4. Chang H, Yeh T (2006) Risk factors to driver fatalities in single-vehicle crashes: comparisons between non-motorcycle drivers and motorcyclists. J Transp Eng 132:227–236

    Article  Google Scholar 

  5. Harb R, Radwan E, Yan X, Pande A, Abdel-Aty M (2008) Freeway work-zone crash identification using multiple and conditional logistic regression. J Transp Eng 134:203–214

    Article  Google Scholar 

  6. Houston DJ, Richardson LE (2002) Traffic safety and switch to a primary seatbelt law: the California experience. Accid Anal Prev 34:743–751

    Article  Google Scholar 

  7. Koushki PA, Bustan BA, Kartam N (2003) Impact of safety belt use on road accident injury and injury type in Kuwait. Accid Anal Prev 35:237–241

    Article  Google Scholar 

  8. Gross F, Jovanis PP, Eccles K, Chen K-Y (2009) Safety effects of lane and shoulder combinations on rural, two-lane, undivided roads.Vol FHWA-HRT-09-031, US Department of Transportation

    Google Scholar 

  9. Baum S (2000) Drinking driving a social problem: comparing the attitudes and knowledge of drink driving offenders and the general community. Accid Anal Prev 32:689–694

    Article  Google Scholar 

  10. Braver ER, Preusser DF, Williams AF, Weinstein HB (1996) Major types of fatal crashes between large trucks and cars. Insurance Institute for Highway Safety, Arlington

    Google Scholar 

  11. Neeley GW, Richardson LE (2009) The effect of state regulations on truck-crash fatalities. Am J Public Health 99:408–415

    Article  Google Scholar 

  12. FEMA (2009) Emergency vehicle visibility and conspicuity study. US Department of Homeland Security, Emmitsburg

    Google Scholar 

  13. Anders RL (2000) On-road investigation of fluorescent sign colors to improve conspicuity. Virginia Polytechnic Institute and State University, Blacksburg

    Google Scholar 

  14. Hawkins HG, Carlson PJ, Elmquist M (2000) Evaluation of fluorescent orange signs. Texas Transportation Institute Report, Vol 0-2962-S

    Google Scholar 

  15. Gates TJ, Hawkins HG (2004) Effect of higher-conspicuity warning and regulatory signs on driver behavior. Texas Transportation Institute Report, Vol 0-4271-S

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Information Engineering, Kunsan National University, Gunsan, 573-701, Korea

    Seong-yoon Shin, Yang-Won Rhee & Dai-Hyun Jang

  2. Division of Information and Electronic Commerce (Institute of Information Science), Wonkwang University, Iksan, 570-749, Korea

    Sangwon Lee, Hyun-Chang Lee & Chan Yong Jin

Authors
  1. Seong-yoon Shin
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yang-Won Rhee
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Dai-Hyun Jang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Sangwon Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Hyun-Chang Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Chan Yong Jin
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hyun-Chang Lee .

Editor information

Editors and Affiliations

  1. , Computer Engineering, Paichai University, Baejae-ro, Seo-gu 155-40, Daejeon, 302-735, Korea, Republic of (South Korea)

    Hoe-Kyung Jung

  2. , Electronic Engineering, Mokwon University, Doanbookro, Seo-Ku 88, Daejeon, 302-729, Korea, Republic of (South Korea)

    Jung Tae Kim

  3. PO Box 2434, Electrical Engineering, QUT Gardens Point, George Street 2, Brisbane, 4001, Queensland, Australia

    Tony Sahama

  4. Normal University, Graduate Institute of Information, National Kaohsiung, No.116, Heping 1st Rd., Lingya District, Kaohsiung City, 80201, Kao-hsiung, Taiwan R.O.C.

    Chung-Huang Yang

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Shin, Sy., Rhee, YW., Jang, DH., Lee, S., Lee, HC., Jin, C.Y. (2013). Relationship Between Car Color and Car Accident on the Basis of Chromatic Aberration. In: Jung, HK., Kim, J., Sahama, T., Yang, CH. (eds) Future Information Communication Technology and Applications. Lecture Notes in Electrical Engineering, vol 235. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6516-0_6

Download citation

  • DOI: https://doi.org/10.1007/978-94-007-6516-0_6

  • Published:

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-6515-3

  • Online ISBN: 978-94-007-6516-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation