In order to develop a useful forward collision warning system, it is important to determine the alarm timing appropriately. This study examined whether or not adapting alarm timing to driver's brake timing is more effective and/or acceptable by drivers than conventional Stopping Distance Algorithm (SDA). The results suggest that the proposed method can contribute to prevent rear-end collisions, and is as acceptable as SDA. Also, the driver adaptive alarm system may not suffer from driver's over-reliance.
AbeG.RichardsonJ. (2006). Alarm timing, trust and driver expectation for forward collision warning systems, Applied Ergonomics, 37, 577–586.
3.
DingusT. A. (1998). Human Factors Design Issues for Crash Avoidance Systems, in BarfieldW.DingusT. A. (eds.), Human Factors in Intelligent Transportation Systems, 55–94, LEA.
4.
FeraricJ.OnkenJ. (1995). Daisy - A Driver Assisting System which Adapts to the Driver, Proc. IFAC-HMS, 597–602.
5.
GoldmanR. (1995). Driver-Adaptive Warning System, IDEA Project Final Report, Contract ITS-7, TRB.
6.
InagakiT. (2005). Human Interaction with Adaptive Automation: Strategies for Trading of Control under Possibility of Over-trust and Complacency, Proc. 1st Int. Conf. Augmented Cognition (CD-ROM), 10 pages.
7.
KieferR. J. (2005). Developing an Inverse Time-To-Collision Crash Alert Timing Approach based on Driver's Last-Second Braking and Steering Judgments, Accident Analysis and Prevention, 37, 295–303.
8.
LeeJ. (2002). Collision Warning Timing, Driver Distraction, and Driver Response to Imminent Rear-End Collisions in a High-Fidelity Driving Simulator, Human Factors, 44(2), 314–334.
9.
NagiriS. (2004). A Study of a Personally Adaptive Driving Support System Using a Driving Simulator, R&D Review of Toyota CRDL, 39(2), 24–33.
10.
NaimW. (2006). Evaluation of an Automotive Rear-End Collision Avoidance System, DOT HS 810 569, NHTSA.
