An Examination of Overtaking Judgments Based on Limitations in the Human Perceptual System: Implications for the Design of Driver-Assistance Systems - Digital Signal Processing for In-Vehicle Systems and Safety - page 235

design of an effective DAS with emphasis on overcoming the limitations of the
human perceptual system.
In conclusion, the proposed requirements take in to account human perceptual
capabilities, limitations, and psychological factors associated with interacting with
the automated DAS. Future research should address how such functional
requirements affect the cognitive aspects of driver performance, i.e., situation
awareness, human-automation interaction, and driver workload.
References
1. Marchau V, Wiethoff M, Penttinen M, Molin E (2001) Stated preferences of European drivers
regarding advanced driver assistance systems (ADA). Eur J Transport Infrastructure Res
1:291-308
2. National Highway Traffic Safety Administration (2006) Traffic safety facts 2004: a compilation
of motor vehicle crash data from the fatality analysis reporting system and the general estimates
system (NHTSA Publication No. DOT HS 809 919). U.S. Department of Transportation,
Washington, DC
3. Brookhuis KA, De Ward D, Janssen WH (2001) Behavioral impacts of advanced driver
assistance systems - an overview. Eur J Transport Infrastructure Res 1:245-253
4. Kiefer RJ, LeBlanc DJ, Flannagan CA (2005) Developing an inverse time-to-collision crash
alert timing approach based on drivers' last second braking and steering judgments. Accid
Anal Prev 37:295-303
5. Federal Highway Administration (2002) Safety effectiveness of intersection left-and-right-turn
lanes. (FHWA Report No. FHWA-RD-02-089). McLean: U.S. Department of Transportation
6. Manser MP, Hancock PA (1996) Influence of approach angle of estimates of time-to-contact.
Ecol Psychol 8:71-99
7. Carsten OMJ, Nilsson L (2001) Safety assessment of driver assistance systems. Eur J Transport
Infrastructure Res 1:225-243
8. Fletcher L, Apostoloff N, Petersson L, Zelinsky A (2003) Vision in and out of vehicles. IEEE
Intell Syst 8:12-17
9. Franke U, Gavrila D, Gern A, Goerzig S, Janssen R, Paetzold F, Whler C (2001) From door to
door - principles and applications of computer vision for driver assistant systems. Intelligent
vehicle technologies: theory and applications: Arnold
10. Gray R (2004) The use and misuse of visual information for “go/no-go” decisions in driving.
In: Hennessy DA, Wiesenthal DL (eds) Contemporary issues in road user behavior. Nova
Science, New York, pp 123-132
11. Gray R, Regan D (2005) Perceptual processes used by drivers during overtaking in a driving
simulator. Hum Factors 47:394-417
12. Hegeman G (2004) Overtaking frequency and advanced driver assistance systems. In: IEEE
intelligent vehicles symposium. Parma, Italy, pp 431-436
13. Clarke DD, Ward PJ, Jones J (1998) Overtaking road-accidents: differences in manoeuvre, as a
function of driver age. Accid Anal Prev 30:455-467
14. National Highway Traffic Safety Administration (2001) Traffic safety facts 2000: a compila-
tion of motor vehicle crash data from the fatality analysis reporting system and the general
estimates system. U.S. Department of Transportation, Washington, DC
15. Gibson JJ, Crooks LE (1938) A theoretical field analysis of automobile driving. Am J Psychol
51:453-471