Scoring model for equipping a road vehicle with active and passive safety systems.

The paper focuses on creating an evaluation methodology that encompasses diverse aspects related to incorporating both active and passive safety features in vehicles, aiming to ensure appropriate protection for drivers and passengers in accidents or emergencies. The automotive industry has directed its efforts towards enhancing vehicle safety by integrating advanced technologies such as electronic stability control (ESC), adaptive cruise control (ACC), lane departure warning systems (LDW), and airbags. These features, both active and passive, work cohesively to mitigate fatalities and injuries in road accidents by providing timely warnings or interventions. However, the number and intricacy of these technologies underscores the necessity for an efficient scoring model. This model can guide users in determining the most suitable combination of systems for their vehicles. The primary objectives include the development of an evaluation methodology assessing the appropriateness of active and passive safety features in road vehicles, accounting for factors like effectiveness and modernity. Furthermore, the model should possess adaptability to future technological advancements and changing regulatory requirements. To realize these objectives, a scoring model employing multi-criteria analysis can be constructed, involving steps such as identifying key criteria, establishing weights based on their importance, collecting data from various sources to evaluate system performance, and finally, calculating and aggregating scores to provide an overall reference during decision-making. The results from this scoring model would furnish users with valuable insights into the possible combinations of active and passive safety systems for different vehicle types. This information holds the potential to optimize system selection, reduce costs, enhance user satisfaction, and ultimately contribute to a safer driving environment.

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Publication Details

Journal
WUT Journal of Transportation Engineering
Published
2024-12-01
DOI
https://doi.org/10.5604/01.3001.0055.0462
Primary Topic
Safety Systems Engineering in Autonomy
Type
article
Field-Weighted Citation Impact
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article

Scoring model for equipping a road vehicle with active and passive safety systems.

Michał Opala, Anna Popielarczyk
1 links
WUT Journal of Transportation Engineering
Safety Systems Engineering in Autonomy
article

Scoring model for equipping a road vehicle with active and passive safety systems.

Michał Opala, Anna Popielarczyk
article en

Abstract

The paper focuses on creating an evaluation methodology that encompasses diverse aspects related to incorporating both active and passive safety features in vehicles, aiming to ensure appropriate protection for drivers and passengers in accidents or emergencies. The automotive industry has directed its efforts towards enhancing vehicle safety by integrating advanced technologies such as electronic stability control (ESC), adaptive cruise control (ACC), lane departure warning systems (LDW), and airbags. These features, both active and passive, work cohesively to mitigate fatalities and injuries in road accidents by providing timely warnings or interventions. However, the number and intricacy of these technologies underscores the necessity for an efficient scoring model. This model can guide users in determining the most suitable combination of systems for their vehicles. The primary objectives include the development of an evaluation methodology assessing the appropriateness of active and passive safety features in road vehicles, accounting for factors like effectiveness and modernity. Furthermore, the model should possess adaptability to future technological advancements and changing regulatory requirements. To realize these objectives, a scoring model employing multi-criteria analysis can be constructed, involving steps such as identifying key criteria, establishing weights based on their importance, collecting data from various sources to evaluate system performance, and finally, calculating and aggregating scores to provide an overall reference during decision-making. The results from this scoring model would furnish users with valuable insights into the possible combinations of active and passive safety systems for different vehicle types. This information holds the potential to optimize system selection, reduce costs, enhance user satisfaction, and ultimately contribute to a safer driving environment.

WUT Journal of Transportation EngineeringVol. 139
Warsaw University of Technology (PL)
Openalex Percentile: Top 66%
Safety Systems Engineering in Autonomy
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Scoring model for equipping a road vehicle with active and passive safety systems. — Michał Opala, Anna Popielarczyk · WUT Journal of Transportation Engineering (2024) | TGRS Research Map | TGRS