A study on traffic accidents involving pedestrians facing the backward by using driving simulator and near-miss incident database
DOI: 10.1299/jsmetld.2017.26.2008
archive: archived pipeline: cataloged verified
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Summary
This study addresses the persistent issue of traffic accidents involving pedestrians, specifically those walking with their backs to traffic. Although overall accident rates are declining, pedestrian incidents remain high, and existing countermeasures often focus on common scenarios like crossing roads. The authors aim to utilize data from drive recorders, which are increasingly widespread, to improve accident prevention and driver safety education. The primary objective is to develop an effective method for presenting near-miss incident data within a driving simulator (DS) environment to enhance the sense of presence and facilitate the analysis of driver behavior. The research utilizes the Tokyo University of Agriculture and Technology Near-Miss Database, which contains approximately 110,000 records of accidents and near-misses collected from taxi-mounted drive recorders. These records include GPS data, vehicle speed, acceleration, braking status, and video footage. To simulate realistic driving conditions, the authors employed a driving simulator equipped with a head-mounted display (HMD), audio, vibration, and controls for steering, acceleration, and braking. The study identified that standard drive recorder footage, with a wide 110-degree horizontal field of view, fails to replicate the focused attention of a driver, potentially reducing the perceived danger and realism of the scenario. To address this, the authors developed a masking technique to limit the visible area of the video, simulating the narrow field of view typical during driving. The experiment compared three presentation conditions: unprocessed video, a fixed mask centered on the vanishing point, and a dynamic mask that followed the driver’s gaze direction as analyzed from the database footage. The masked areas were darkened and blurred using gamma correction and median filters, allowing subjects to perceive motion but not detailed attributes. Participants viewed these videos in the simulator and were instructed to operate the accelerator, steering, and brakes when they felt the need to avoid a hazard. Post-experiment, participants rated their subjective sense of danger using a Visual Analog Scale and provided free comments. The study concludes by establishing a framework for presenting near-miss data in a way that heightens the perception of danger and mimics real-world driving attention. The authors propose that this method can be integrated into a comprehensive environment for analyzing driver behavior, experiencing dangerous scenes, and conducting driving practice. Future work will involve combining this presentation technique with previous simulator application technologies to create a full-cycle system from analysis to education. Additionally, the authors plan to investigate presentation methods that respond to the driver’s head movements and further refine the degree of masking to optimize the educational and analytical utility of drive recorder data.
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | Crossref | — | — | 1 | 2026-06-10 |
| archive | success | canonical_url | — | — | 1 | 2026-06-25 |
| extract | success | cached | — | — | 2 | 2026-06-25 |
| clean | success | clean | — | — | 1 | 2026-06-20 |
| chunk | success | chunk | — | — | 1 | 2026-06-20 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-20 |
| enrich | success | openalex | — | — | 1 | 2026-06-20 |
| promote | success | — | — | — | 1 | 2026-06-10 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-25 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-20 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-25; verification: verified.
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