Relationship Between Pedestrian Protection Test Protocols and a Real Scenario
Bibliographic record
Abstract
Of the one and a half million accidents which occur in the Euro-15 area every year, and which cause nearly 40,000 deaths, pedestrians account for 15% of these, i.e. about 6,000 per year. The percentage of pedestrians killed in road accidents is about 12% for Canada, USA and Australia, while in Korea and Japan pedestrian fatalities account for as much as 30% and 40% of road deaths. Organizations like Euro NCAP, EEVC and the new Regulation, together with vehicle manufacturers are seeking solutions through the development of advanced safety systems and accurate methods for testing these systems. IDIADA carried out two studies related to pedestrian protection and the relation of protocol to real world accidents. The first study was focused on real world accidents involving pedestrians, and was divided into two parts: 1) Assessment of vehicle speed influence. Sixty-two cases, collected by the Municipal Police and the Public Health Service Agency in which pedestrians were involved in accidents were studied in Barcelona city. 75.1% of accidents occurred during the day, with an ISS 4-5 level of injury, and an ISS 3-4 at night; 2) Study about speed as a cause of accidents. 75.3% of drivers made a braking avoidance maneuver. The average speed before the accident was 50.8 km/h and the impact average velocity was 24.78 km/h. As a result, injury level related to vehicle speed was evaluated. The speed threshold between slight and severe injuries is at about 40 km/h. This value is very similar to the impact velocity used in the current tests to evaluate pedestrian protection in passive safety testing, as for example in Euro NCAP. The objective of the second study was to test the influence of the vehicle design, mainly the front end, on pedestrian head injuries in the case of runover. Several accident simulations were performed using the program MADYMO® in which a pedestrian’s head was impacted into a different point of the hood depending on the situation. The head impact position changes according to vehicle category: collisions in compact and roadster sports cars take place within the limits set by Euro NCAP for adult head impactor while, in the offroad 4x4 class, some points are located below the lower limit for the adult head. If the analysis focuses on the pedestrian's head impact angle and speed against the hood of the car, the following conclusions can be expounded: a) For the same vehicle, impact speed and angle of the adult head against the hood are virtually unchanged although the pedestrian’s speed is different; b) If impact speed is higher, the collision involves worse consequences; c) The shape of the front part of the vehicle is not decisive in the severity of pedestrian injuries; and, d) Further testing is needed to verify that parameters defined by the EEVC, Euro NCAP or pedestrian Regulation are entirely valid according to real world scenarios. The main conclusion of the study and the analysis of actual accident data was that current pedestrian testing protocols are reliable enough to be taken into account when a vehicle pedestrian protection level is assessed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.132 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".