Effects and Evaluation of the Graded Deceleration Display on Driver Braking Performance

Abstract

Driver braking performance is highly dependent on the driver’s ability to estimate closing distance to the vehicle in front of them. Unfortunately, drivers often do not accurately perceive closing speed (Hoffman & Mortimer, 1996). Here, we examined whether providing graded deceleration magnitudes via an array of horizontally arranged brake lights (Graded Deceleration Display - GDD) can improve driver braking performance over standard (Binary) displays. In simulation, participants followed a lead vehicle through a series of braking events where the maximum rates of deceleration were systematically varied. Drivers were instructed to follow the lead vehicle at a “safe and adequate” distance. The Graded Deceleration Display resulted in slightly longer reaction times although the braking responses were more accurate in relation to the deceleration of the lead vehicle. The GDD also resulted in longer following distances, which could be indicative of an increased margin of safety for following vehicles.

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References

Brackstone

McDonald

(2007). Driver headway: How close is too close on a motorway?. Ergonomics, 50(8), 1183-1195. doi:10.1080/0014013070131866510.1080/00140130701318665.

Chung

S. B.

Song

K. H.

Hong

S. Y.

Kho

S. Y.

(2005). Development of sensitivity term in car-following model considering practical driving behavior of preventing rear end collision. Journal of the Eastern Asia Society for Transportation Studies, 6, 1354–1367.

Dyre

B.P.

Grimes

J.P.

Lew

(2007). ViEWER: A Virtual Environment Workbench for Education and Research. http://www.webpages.uidaho.edu/~bdyre/viewer.htm .

Green

(2000). "How long does it take to stop?" Methodological analysis of driver perception-brake times. Transportation Human Factors, 2(3), 195-216.

Hick

W E.

(1952). On the rate of gain of information. Quarterly Journal of Experimental Psychology, 4:11-26.

Hoffman

E. R.

Mortimer

R.G.

(1996). Scaling of relative velocity between vehicles. Accident Analysis & Prevention, 28 (4), 415-421.

Horst

Hogema

(1993). Time-to-collision and collision avoidance systems. In Proceedings of the 6th International Cooperation on Theories and Concepts in Traffic Series Human-Computer Interaction. Salzburg.

Hyman

(1953). Stimulus information as a determinant of reaction time. Journal of Experimental Psychology, 45, 188-196.

Isler

Starkey

(2010). Evaluation of a sudden brake warning system: Effect on the response time of the following driver. Applied Ergonomics, 41(4), 569-576. doi:10.1016/j.apergo.2009.12.00210.1016/j.apergo.2009.12.002.

10.

Kostyniuk

L.P.

Eby

D.W.

(1998). Exploring rear-end roadway crashes from the driver’s perspective. Technical Report, UMTRI-98-52, Transportation Research Institute, the University of Michigan.

11.

Lee

McGehee

Brown

Reyes

(2002). Collision Warning Timing, Driver Distraction, and Driver Response to Imminent Rear-End Collisions in a High-Fidelity Driving Simulator. Human Factors, 44(2), 314. Retrieved from Academic Search Premier database.

12.

Milgram

(2008). An empirical investigation of a dynamic brake light concept for reduction of rear-end collisions through manipulation of optical looming. International Journal of Human – Computer Studies, 66(3), 158-172. doi:10.1016/j.ijhcs.2007.01.00210.1016/j.ijhcs.2007.01.002.

13.

Muhrer

Vollrath

(2010). Expectations while car following—The consequences for driving behavior in a simulated driving task. Accident Analysis & Prevention, 42(6), 2158-2164. doi:10/1016/j.aap.2010.07.00910/1016/j.aap.2010.07.009

14.

Platt

J. R.

(1964). Strong inference. Science, 146 (3642).

15.

Seto

Minegishi

Zhengrong

Kobayashi

(2004). Research on Detection of Braking Reactions in Emergency Situations. Vehicle System Dynamics, 41 784-790. Retrieved from Academic Search Premier database.

16.

Smith

M.R.H.

Flach

J.M.

Stanard

T.W.

Dittman

S.M.

(2001). Optical bases for controlling the timing of collisions. Journal of Experimental Psychology: Human Perception & Performance, 27(2), 395-410.

17.

Summala

(2000). Brake Reaction Times and Driver Behavior Analysis. Transportation Human Factors, 2(3), 217-226. Retrieved from Academic Search Premier database.

18.

Terry

Charlton

Perrone

(2008). The role of looming and attention capture in drivers’ braking responses. Accident Analysis & Prevention, 40(4), 1375-1382. doi:10.1016/j.aap.2008.02.00910.1016/j.aap.2008.02.009.