Abstract
This study constructs a driver model that reflects the braking characteristics of individual drivers. In addition, the purpose of this study is to establish the effectiveness of applying the said driver model to the activation timing of the collision warning system. The experiment was carried out using a driving simulator, and evaluation of the system's activation timing was carried out from both subjective and objective perspectives. For system rating on the effect of collision warning system using the driver model, it was compared with a system with the activation timing set uniformly based on the technical guidelines. As a result, following conclusions were reached. (1) If the deceleration of the forward vehicle is significant, driver's acceptance is not lost even if the collision warning system using the driver model is activated early. (2) The collision warning system using the driver model increases the durational margin until collision, and contributes to accident avoidance with driver action. (3) The collision warning system using the driver model can reduce the risk of collision with forward vehicles and improve the safety level. In addition, the load of driver’s braking action can be reduced.
| Original language | English |
|---|---|
| Publication status | Published - 2014 Jan 1 |
| Event | 35th FISITA World Automotive Congress, 2014 - Maastricht, Netherlands Duration: 2014 Jun 2 → 2014 Jun 6 |
Other
| Other | 35th FISITA World Automotive Congress, 2014 |
|---|---|
| Country | Netherlands |
| City | Maastricht |
| Period | 14/6/2 → 14/6/6 |
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Keywords
- Collision warning
- Driver model
- Driving simulator
- Neural network
- Rear-end collision
ASJC Scopus subject areas
- Automotive Engineering
- Safety, Risk, Reliability and Quality
Cite this
A study on warning activation timing of rear-end collision with driver model of neural network. / Hirose, Toshiya; Kaneko, Yuichi; Kasuga, Nobuyo; Sawada, Toichi.
2014. Paper presented at 35th FISITA World Automotive Congress, 2014, Maastricht, Netherlands.Research output: Contribution to conference › Paper
}
TY - CONF
T1 - A study on warning activation timing of rear-end collision with driver model of neural network
AU - Hirose, Toshiya
AU - Kaneko, Yuichi
AU - Kasuga, Nobuyo
AU - Sawada, Toichi
PY - 2014/1/1
Y1 - 2014/1/1
N2 - This study constructs a driver model that reflects the braking characteristics of individual drivers. In addition, the purpose of this study is to establish the effectiveness of applying the said driver model to the activation timing of the collision warning system. The experiment was carried out using a driving simulator, and evaluation of the system's activation timing was carried out from both subjective and objective perspectives. For system rating on the effect of collision warning system using the driver model, it was compared with a system with the activation timing set uniformly based on the technical guidelines. As a result, following conclusions were reached. (1) If the deceleration of the forward vehicle is significant, driver's acceptance is not lost even if the collision warning system using the driver model is activated early. (2) The collision warning system using the driver model increases the durational margin until collision, and contributes to accident avoidance with driver action. (3) The collision warning system using the driver model can reduce the risk of collision with forward vehicles and improve the safety level. In addition, the load of driver’s braking action can be reduced.
AB - This study constructs a driver model that reflects the braking characteristics of individual drivers. In addition, the purpose of this study is to establish the effectiveness of applying the said driver model to the activation timing of the collision warning system. The experiment was carried out using a driving simulator, and evaluation of the system's activation timing was carried out from both subjective and objective perspectives. For system rating on the effect of collision warning system using the driver model, it was compared with a system with the activation timing set uniformly based on the technical guidelines. As a result, following conclusions were reached. (1) If the deceleration of the forward vehicle is significant, driver's acceptance is not lost even if the collision warning system using the driver model is activated early. (2) The collision warning system using the driver model increases the durational margin until collision, and contributes to accident avoidance with driver action. (3) The collision warning system using the driver model can reduce the risk of collision with forward vehicles and improve the safety level. In addition, the load of driver’s braking action can be reduced.
KW - Collision warning
KW - Driver model
KW - Driving simulator
KW - Neural network
KW - Rear-end collision
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