DocumentCode :
2012618
Title :
Estimating damage-mitigation level of collision-prevention support braking
Author :
Suzuki, Keisuke ; Tanaka, Hitoshi ; Miichi, Yoshiki ; Aga, Masami
Author_Institution :
Kagawa Univ., Kagawa, Japan
fYear :
2011
fDate :
5-9 June 2011
Firstpage :
648
Lastpage :
653
Abstract :
In this study, collision-prevention support braking was used as an example, and a methodology for estimating the collision mitigation ratio using this system is discussed. A method for analyzing the collision-mitigation ratio is discussed through a time series Monte-Carlo simulation based on the integrated error of driver and system [1][2]. First, driver performance in terms of braking timing and deceleration level for collision avoidance was analyzed in a driving simulator when the control timing of the braking-support system was changed. Next, a driver model simulating braking operation, when a preceding vehicle started slowdown was constructed. Through time series simulations using this driver model, the frequency of collisions with a preceding vehicle and the collision velocity were estimated. One result analyzed through this simulation study based on the integrated error of driver and system considering the driver´s risk taking behavior during the use of the system estimates that the frequency of collisions decreased from 6.64×10-1 to 1.00×10-5 when the driver used the driving support system for collision avoidance. Although further verification regarding the driver error and system error will be necessary, a methodology for evaluating effectiveness of driving-support system is shown in this study.
Keywords :
Monte Carlo methods; braking; collision avoidance; control engineering computing; driver information systems; road safety; time series; braking timing; collision avoidance; collision mitigation ratio; collision prevention support braking; damage mitigation level estimation; deceleration level; driver error; driver risk taking behavior; driving simulator; driving support system; system error; time series Monte Carlo simulation; Accidents; Analytical models; Driver circuits; Error probability; Mathematical model; Timing; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium (IV), 2011 IEEE
Conference_Location :
Baden-Baden
ISSN :
1931-0587
Print_ISBN :
978-1-4577-0890-9
Type :
conf
DOI :
10.1109/IVS.2011.5940456
Filename :
5940456
Link To Document :
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