Proposal of Non-dimensional Parameter Indices to Evaluate Safe Driving Behavior
DOI: 10.1007/978-3-642-39215-3_54
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Summary
This paper proposes four non-dimensional parameter indices designed to quantitatively evaluate safe driving behavior, addressing the need for a Safe Driving Evaluation System (SDES) that directly encourages safety rather than relying on indirect methods like fuel-efficiency feedback. The motivation stems from risk homeostasis theory, which suggests drivers may compensate for safety gains from assistance systems by taking greater risks. Building on the authors' previous work regarding Deceleration for Collision Avoidance (DCA), the study aims to provide objective metrics for both passive responses to overt risks and active prevention of potential risks. The methodology defines four specific indices based on vehicle kinematics and DCA calculations. Two indices evaluate passive safe driving for overt risks: Index I (Proper Deceleration, $I_F$) measures the adequacy of the host vehicle’s deceleration relative to the required Overt DCA (ODCA) when a preceding vehicle brakes abruptly; Index II (Deceleration with Consideration for Backward Vehicle, $I_B$) assesses whether the host vehicle’s braking creates an unsafe situation for a following vehicle by comparing the backward vehicle’s actual deceleration to its required ODCA. Two indices evaluate active safe driving for potential risks: Index III (Stable Acceleration/Deceleration, $I_A$) evaluates the smoothness of acceleration maneuvers by comparing actual acceleration to driver input, crucial for maintaining stability on slippery surfaces; Index IV (Safe Inter-vehicular Distance, $I_D$) assesses following distance adequacy using Potential DCA (PDCA), which assumes the preceding vehicle might brake abruptly. The authors validated these indices through numerical simulations. For $I_F$, simulations showed that immediate, adequate deceleration yielded a perfect score, while delayed reactions resulted in lower scores (e.g., 0.83), confirming its ability to distinguish proper braking timing. For $I_B$, gentle deceleration by the host vehicle resulted in a score of 1.0, whereas abrupt braking that forced the following vehicle to brake harder than required resulted in a lower score (0.64), validating the index’s capacity to penalize unsafe braking behavior. For $I_A$, simulations on low-friction surfaces demonstrated that rough brake inputs led to lower stability scores compared to smooth inputs. The study establishes that these non-dimensional parameters, ranging from 0 to 1, effectively quantify driving adequacy across various risk scenarios. The significance of this work lies in providing a quantitative framework for evaluating safe driving behavior, which can serve as the foundation for feedback systems in vehicles. By offering direct metrics for safety, these indices aim to mitigate risk compensation behaviors and promote sustained safe driving habits. The proposed indices offer a comprehensive assessment tool that covers both reactive collision avoidance and proactive risk management, contributing to the development of more effective driver-assistance and evaluation technologies.
Key finding
Numerical simulations confirmed that the four proposed non-dimensional indices accurately quantify the adequacy of safe driving behaviors, including proper deceleration timing, consideration for following vehicles, acceleration stability, and inter-vehicular distance maintenance.
Methodology
simulation_modeling
Provenance
The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via author_sweep_intake on 2026-05-28.
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | author_sweep | — | — | 2 | 2026-05-28 |
| archive | success | canonical_url | — | — | 1 | 2026-06-06 |
| extract | success | cached | — | — | 3 | 2026-06-10 |
| 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 |
| enrich | failed | — | — | — | 5 | 2026-07-02 |
| promote | success | — | — | — | 1 | 2026-06-04 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 2 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 15 | 2026-06-11 |
| verify | success | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
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Information type
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- Empirical Findings: behavioral performance data
- Methodological Resource: metric or index
- Theoretical Contribution: computational model