Traffic Safety Impact Factors Related to Changing the Vehicles Among Drivers in Closed Systems
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Summary
This study investigates the impact of changing vehicle brands and types on traffic safety within closed systems, such as corporate fleets. The research is motivated by the significant contribution of work-related road accidents to occupational fatalities, which account for up to one-third of all work-related deaths. While vehicle roadworthiness is legally regulated, the specific effects of switching between different vehicle models on driver performance and safety remain underexplored. The authors aim to determine whether vehicle changes necessitate specific driver training by analyzing the relationship between braking parameters and both the vehicle type and the individual driver. The experimental design involved five drivers operating ten different passenger car brands and types, all of which were registered and used daily in traffic. Measurements were conducted at a specialized facility equipped with cylinders, braking coefficient sensors, and brake pedal force detectors. The study measured three key variables: braking force, brake pedal force, and braking coefficient. Statistical analysis was performed using SPSS, employing one-factor analysis of variance (ANOVA) of repeated measurements to assess differences among drivers and Pearson linear correlation to examine the relationship between braking parameters and vehicle types. The study tested four hypotheses regarding the variability of braking coefficients and pedal forces based on driver identity and vehicle specifications. The results demonstrated statistically significant differences in braking force, brake pedal force, and braking coefficients depending on both the driver and the vehicle brand. ANOVA results indicated a very strong impact of the driver on realized braking force for all four wheels, with high partial eta squared values. Similarly, brake pedal force varied significantly by driver, with high impact strength on both front and rear axles. Pearson correlation analysis confirmed that vehicle brand and type significantly influenced the required brake pedal force and braking coefficients. The data revealed that drivers accustomed to vehicles requiring lower pedal force struggled to predict braking intensity when switching to vehicles requiring higher force, leading to potential safety risks such as insufficient braking or sudden forced braking. The study concludes that both the vehicle and the driver are critical factors in traffic safety when changing vehicles. The findings support the necessity of systemic driver training whenever a driver switches to a new vehicle brand or type within a company. This training should include theoretical and practical components focusing on braking characteristics, driver distraction, and active and passive safety features. The authors argue that without such training, drivers cannot accurately predict stopping distances or required braking intensity, thereby increasing the risk of accidents. This research underscores the importance of integrating vehicle-specific training into workplace traffic safety management systems to mitigate risks associated with fleet vehicle changes.
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | Crossref | — | — | 1 | 2026-06-06 |
| archive | success | canonical_url | — | — | 1 | 2026-06-09 |
| extract | success | cached | — | — | 2 | 2026-06-09 |
| clean | success | clean | — | — | 1 | 2026-06-07 |
| chunk | success | chunk | — | — | 1 | 2026-06-07 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-07 |
| promote | success | — | — | — | 1 | 2026-06-06 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-09 |
| tag | success | vector_similarity | — | — | 15 | 2026-06-11 |
| verify | success | — | — | — | 1 | 2026-06-09 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-09; verification: verified.
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- Applied Guidance: countermeasure evaluation