A study on warning activation timing of rear-end collision with driver model of neural network

Toshiya Hirose, Yuichi Kaneko, Nobuyo Kasuga, Toichi Sawada

Research output: Contribution to conferencePaper

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 languageEnglish
Publication statusPublished - 2014 Jan 1
Event35th FISITA World Automotive Congress, 2014 - Maastricht, Netherlands
Duration: 2014 Jun 22014 Jun 6

Other

Other35th FISITA World Automotive Congress, 2014
CountryNetherlands
CityMaastricht
Period14/6/214/6/6

Fingerprint

Alarm systems
Chemical activation
Neural networks
Braking
Deceleration
Accidents
Simulators
Experiments

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

Hirose, T., Kaneko, Y., Kasuga, N., & Sawada, T. (2014). A study on warning activation timing of rear-end collision with driver model of neural network. Paper presented at 35th FISITA World Automotive Congress, 2014, Maastricht, Netherlands.

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 conferencePaper

Hirose, T, Kaneko, Y, Kasuga, N & Sawada, T 2014, 'A study on warning activation timing of rear-end collision with driver model of neural network' Paper presented at 35th FISITA World Automotive Congress, 2014, Maastricht, Netherlands, 14/6/2 - 14/6/6, .
Hirose T, Kaneko Y, Kasuga N, Sawada T. A study on warning activation timing of rear-end collision with driver model of neural network. 2014. Paper presented at 35th FISITA World Automotive Congress, 2014, Maastricht, Netherlands.
Hirose, Toshiya ; Kaneko, Yuichi ; Kasuga, Nobuyo ; Sawada, Toichi. / A study on warning activation timing of rear-end collision with driver model of neural network. Paper presented at 35th FISITA World Automotive Congress, 2014, Maastricht, Netherlands.
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