Pedestrian collision risk indices based on driving behavior during right turns at intersections Shino, Motoki ; Shimazu, Yuta ; Tagawa, Takashi ; Kamata, Minoru
Publication details: Göteborg Chalmers University of Technology. SAFER Vehicle and Traffic Safety Centre, 2015Description: s. 493-499Subject(s): Online resources: In: FAST-zero'15: 3rd International symposium on future active safety technology toward zero traffic accidents: September 9-11, 2015 Gothenburg, Sweden: proceedingsNotes: Konferens: FAST-zero'15: 3rd International symposium on future active safety technology toward zero traffic accidents, 2015, Gothenburg Abstract: According to traffic accident statistics, 4481 fatal traffic accidents were reported in Japan in 2011—an extremely large number. Of these accidents, half occurred at intersections, and 40% of those were person-to-vehicle accidents, which typically result in high death rates. The causes of these accidents were judgment error, operation error, and particularly oversight, i.e., the driver not recognizing a pedestrian within a sufficient stopping distance. In this paper, pedestrian collision risk indices are proposed for use in identifying driving behavior that leads to collisions with pedestrians during right turns at intersections. These indices are based on the formulation of a strategy for passing through an intersection. The validity of the index was assessed using the Japan Automobile Research Institute’s Augmented Reality Vehicle (JARI-ARV).Konferens: FAST-zero'15: 3rd International symposium on future active safety technology toward zero traffic accidents, 2015, Gothenburg
According to traffic accident statistics, 4481 fatal traffic accidents were reported in Japan in 2011—an extremely large number. Of these accidents, half occurred at intersections, and 40% of those were person-to-vehicle accidents, which typically result in high death rates. The causes of these accidents were judgment error, operation error, and particularly oversight, i.e., the driver not recognizing a pedestrian within a sufficient stopping distance. In this paper, pedestrian collision risk indices are proposed for use in identifying driving behavior that leads to collisions with pedestrians during right turns at intersections. These indices are based on the formulation of a strategy for passing through an intersection. The validity of the index was assessed using the Japan Automobile Research Institute’s Augmented Reality Vehicle (JARI-ARV).