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논문 기본 정보

자료유형
학술대회자료
저자정보
Ikumi Ozaki (Kagawa University) Lee Johyeong (Kagawa University) Saya Kishino (Kagawa University) Keisuke Suzuki (Kagawa University) Masumi Nakajima (Yamaha Motor)
저널정보
대한인간공학회 대한인간공학회 학술대회논문집 대한인간공학회 2018 춘계 학술대회 한.일 공동학술대회
발행연도
2018.5
수록면
118 - 121 (4page)

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Objective: The purpose of this research is to propose an evaluation method of HMI (Human Machine Interface) system for motorcycles. Background: In recent years, injury accidents of four-wheeled vehicles are decreasing, but the accidents of motorcycles are still on a high trend. As a reason for this, active safety systems are beginning to spread for four-wheeled vehicles, but it is not very common for motorcycles. In addition, evaluation method of HMI system for motorcycle has not been proposed yet. Method: In our previous studies, we proposed the HMI system for motorcycles and carried out experiments for the evaluation of its effectiveness to minimize traffic accidents. In this paper we evaluate the accident reduction effect of this system using Monte Carlo simulation. We focused on a typical accident in Japan which is the head to head collision at blind intersections, and the person who is driving on a non-priority road. At the experiment which we did, we set scenarios that a motorcycle rider is using the HMI system or a rider is not using system, and a rider is using the HMI but the system malfunction occurs. We set malfunction scenario in order to survey the dependence level on the system of motorcycle riders. From this experiment, we analyzed the collision probability. And we perform Monte Carlo Simulation based on RT (Reaction Time) and Tca (Time for Collision Avoidance) which were investigated in the experiment study. From this simulation, we quantified the collision probability and impact speed. Conclusion: By using the system, we confirmed that the system can reduce the accident probability. We can conclude that this proposed method is possible to evaluate the HMI system for motorcycles.

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ABSTRACT
1. Introduction
2. Experiment method and results
3. Evaluation method
4. Simulation results
5. Discussion
6. Conclusion
References

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