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Pre-collision system (PCS) that basically consists of warning buzzer, brake-assist and automatic brake functions is designed to help mitigate injury occurring in frontal impacts where preceding vehicles are impacted from the rear. Since the benefit of each function is influenced by drivers' reaction before collision, it is difficult to estimate quantitative effectiveness for improvement. This paper proposes an approach to establish a Safety Impact Methodology (SIM) for the effectiveness estimation of a PCS by utilizing driving simulator (DS) test results and Event Data Recorder (EDR) data. The estimation procedure consists of four steps. Firstly, the PCS functions were modeled as linear transfer functions with gain, delay, etc. Test vehicle's properties were measured and modeled as an example. Secondly, the transfer functions were applied to each DS test result, and the speed reduction from travel speed to impact speed was calculated by the model assuming that PCS was installed.

The authors have developed an intelligent four-wheel drive system (I-4WD) designed to distribute the driving force to the front and rear wheels at the optimum ratio according to the running condition of the vehicle. The I-4WD consists of a center differential which distributes 30 percent of the driving force to front wheels and 70 percent to rear wheels (30:70), a hydraulic multi-disk clutch, an electronic control unit and a hydraulic control circuit. The driving force distribution can be steplessly varied from 30:70 up to the rigid state by controlling the hydraulic pressure on the clutch. The main control algorithm is based on the“yaw velocity model following control.” This composition has allowed us to accurately balance the cornering performance and stability without spoiling the critical limit predictability which is that the driver knows in advance the critical limit of vehicle dynamics.