Development of Risk-Situation Scenario for Autonomous Vehicles on Expressway Using Topic Modeling
Growing interest has recently been paid to the development of autonomous vehicle scenarios, and corresponding research is being conducted on various methodologies and on the generation of scenarios including technological elements. However, most studies have focused on frequently-occurring accident...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2022/6880310 |
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| _version_ | 1832562199766237184 |
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| author | Osung Chae Junghwa Kim Jeongah Jang Hyunjeong Yun Shinkyung Lee |
| author_facet | Osung Chae Junghwa Kim Jeongah Jang Hyunjeong Yun Shinkyung Lee |
| author_sort | Osung Chae |
| collection | DOAJ |
| description | Growing interest has recently been paid to the development of autonomous vehicle scenarios, and corresponding research is being conducted on various methodologies and on the generation of scenarios including technological elements. However, most studies have focused on frequently-occurring accident types or representative accident situations; thus, there is a lack of studies on scenarios considering unpredictable accidents. Proper preparation is required for accident situations because even a small traffic accident that is less likely to occur can lead to fatalities if it is difficult to predict. Accordingly, this study established accident situations based on the Pegasus layer model by using unstructured text data to explain traffic accidents on expressways in Korea. The established accident situations were classified into three types (Typical Traffic/Critical Traffic/Edge Case) according to frequency. Topic modeling was applied to the Edge Case class, i.e., the least likely to occur and thus difficult to predict, to analyze the characteristics of groups and develop risk-situation scenarios for autonomous vehicles based on actual accident data. |
| format | Article |
| id | doaj-art-87792440da224daa864e6aa1fadd91dd |
| institution | Kabale University |
| issn | 2042-3195 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-87792440da224daa864e6aa1fadd91dd2025-02-03T01:23:11ZengWileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/6880310Development of Risk-Situation Scenario for Autonomous Vehicles on Expressway Using Topic ModelingOsung Chae0Junghwa Kim1Jeongah Jang2Hyunjeong Yun3Shinkyung Lee4Kyonggi UniversityKyonggi UniversityAjou UniversityETRI Autonomous Driving Intelligence Research SectionETRI Autonomous Driving Intelligence Research SectionGrowing interest has recently been paid to the development of autonomous vehicle scenarios, and corresponding research is being conducted on various methodologies and on the generation of scenarios including technological elements. However, most studies have focused on frequently-occurring accident types or representative accident situations; thus, there is a lack of studies on scenarios considering unpredictable accidents. Proper preparation is required for accident situations because even a small traffic accident that is less likely to occur can lead to fatalities if it is difficult to predict. Accordingly, this study established accident situations based on the Pegasus layer model by using unstructured text data to explain traffic accidents on expressways in Korea. The established accident situations were classified into three types (Typical Traffic/Critical Traffic/Edge Case) according to frequency. Topic modeling was applied to the Edge Case class, i.e., the least likely to occur and thus difficult to predict, to analyze the characteristics of groups and develop risk-situation scenarios for autonomous vehicles based on actual accident data.http://dx.doi.org/10.1155/2022/6880310 |
| spellingShingle | Osung Chae Junghwa Kim Jeongah Jang Hyunjeong Yun Shinkyung Lee Development of Risk-Situation Scenario for Autonomous Vehicles on Expressway Using Topic Modeling Journal of Advanced Transportation |
| title | Development of Risk-Situation Scenario for Autonomous Vehicles on Expressway Using Topic Modeling |
| title_full | Development of Risk-Situation Scenario for Autonomous Vehicles on Expressway Using Topic Modeling |
| title_fullStr | Development of Risk-Situation Scenario for Autonomous Vehicles on Expressway Using Topic Modeling |
| title_full_unstemmed | Development of Risk-Situation Scenario for Autonomous Vehicles on Expressway Using Topic Modeling |
| title_short | Development of Risk-Situation Scenario for Autonomous Vehicles on Expressway Using Topic Modeling |
| title_sort | development of risk situation scenario for autonomous vehicles on expressway using topic modeling |
| url | http://dx.doi.org/10.1155/2022/6880310 |
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