- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Knowledge Graph Search feature is available on CiNii Labs
- 【Updated on June 30, 2025】Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
Analysis of Car-Pedestrian Accident Using a Computer Simulation Model
-
- FUKUYAMA Keisuke
- Japan Automobile Research Institute, Safety Reserch Division
-
- MATSUKAWA Fujio
- Japan Automobile Research Institute, Safety Reserch Division
-
- ISSIKI Takahiro
- Japan Automobile Research Institute, Safety Reserch Division
-
- TANIMURA Mikio
- Japan Automobile Research Institute, Safety Reserch Division
-
- OMODA Yuichi
- Japan Automobile Research Institute, Safety Reserch Division
-
- YAMAZAKI Kunio
- Japan Automobile Research Institute, Safety Reserch Division
Bibliographic Information
- Other Title
-
- シミュレーションによる歩行者事故の解析
- 制動条件が歩行者の飛翔距離に及ぼす影響
- Influence of Braking Conditions on Distance Pedestrians Are Thrown
Search this article
Description
This research seeks to improve the accuracy of calculating the collision speed of a vehicle in a car-pedestrian accident using computer simulation because most fatal accidents are pedestrian accidents. We therefore studied how to calculate the collision speed of vehicles involved in pedestrian accidents using the pedestrian simulation model (MADYMO) developed by JARI. In the computer simulation, we used two different brake conditions (braking level and braking time) to investigate the relation between the distance a pedestrian is thrown and the vehicle speed upon collision. Based on our research, we speculate that the distance a pedestrian is thrown increases when the braking level is low and that the distance thrown becomes maximum when braking is delayed and the collision speed exceeds 40km/h.
Journal
-
- Journal of the Japanese Council of Traffic Science
-
Journal of the Japanese Council of Traffic Science 12 (1), 39-45, 2012
The Japanese Council of Traffic Science
- Tweet
Details 詳細情報について
-
- CRID
- 1390282680719359232
-
- NII Article ID
- 130006410120
-
- ISSN
- 24334545
- 21883874
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
- CiNii Articles
-
- Abstract License Flag
- Disallowed