A Study of Potential Risk Indicators in Driving Scenario for Lane-changing Collisions
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.):¥1,100 Members (tax incl.):¥880
- Publication code
- 20219051
- Paper/Info type
- Other International Conferences
- Pages
- 1-5(Total 5 p)
- Date of publication
- Sep 2021
- Publisher
- JSAE
- Language
- English
Detailed Information
Author(E) | 1) Takashi Imaseki, 2) Fukashi Sugasawa, 3) Hiroshi Mouri |
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Affiliation(E) | 1) Tokyo University of Agriculture and Technology, 2) Tokyo University of Agriculture and Technology, 3) Tokyo University of Agriculture and Technology |
Abstract(E) | In order to ensure the safety driving of autonomous vehicles before on-road implementation, the driving performance can be evaluated by simulating various driving scenarios and calculating surrogate indicators representing dangerous collision risk. This study focused on the collision risk calculation in the driving scenario for vehicle lane-changing, because the level 3 autonomous driving vehicles should be operated in the lane-changing scenarios. Surrogate indicators were introduced that represent potential risks in the driving scenarios for lane-changing collisions. Near-miss video database was used to validate that these indicators can illustrate risk probabilities. Accoringly in the case of driving scenarios for vehicle lane-changing, dangerous situations were quantified using the surrogate indicators, and the driving safety performance of autonomous driving vehicles could be evaluated. |