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RISS 인기검색어
- 검색키워드
- 저자 : Ikumi Ozaki (검색결과 3 건)
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Ikumi Ozaki,Lee Johyeong,Saya Kishino,Keisuke Suzuki,Masumi Nakajima 대한인간공학회 2018 대한인간공학회 학술대회논문집 Vol.2018 No.5
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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Saya Kishino,Joohyeong Lee,Ikumi Ozaki,Keisuke Suzuki,Masumi Nakajima 대한인간공학회 2018 대한인간공학회 학술대회논문집 Vol.2018 No.5
Objective: The purpose of this research is to analyze riders’ behavior and the reduction of traffic accidents when they are in a risk of traffic accident if the riders’ use a Human-Machine-Interface (HMI) system that presents effective information to prevent accidents. Background: In recent years, accidents of four-wheeled vehicles are decreasing, but accidents of motorcycle are still high, so we suggest an HMI system that presents effective information to prevent accidents to motorcycle riders. Method: We carried out experiments with three scenarios using a riding simulator. We analyzed 15 riders’ behavior when they are in risky situations for each 20 times (10 with the system and 10 without the system). We set up three scenarios which are supposed at intersections. First scenario is that other vehicle running on the different lane which cross the lane while an ego vehicle rider is running ignores a stop sign when the rider runs on the priority road. Second scenario is that other vehicle running on the opposite lane overlooks the rider of ego vehicle and turns right when the rider runs on the priority road. Third scenario is that the rider of ego vehicle ignores a stop sign when the rider runs on the non-priority road. Results: As a result, the reaction time to the initiation timing of the rider’s braking was shortened, and the average deceleration and time to collision between an ego vehicle and an oncoming vehicle increased when a rider was using HMI system. This means that the HMI system is effective to minimize the risk of accidents. This allowed motorcycle riders to quickly notice the existence of other vehicles. Because of this, the rider can slow down safely, and this system can reduce the risk.
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