Enhancing Minefield Row Efficiency Model Precision through Active Length Integration for Improved Accuracy

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F26%3A00564531" target="_blank" >RIV/60162694:G42__/26:00564531 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/60162694:G47__/26:00564531

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/11061333" target="_blank" >https://ieeexplore.ieee.org/document/11061333</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICMT65201.2025.11061333" target="_blank" >10.1109/ICMT65201.2025.11061333</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Enhancing Minefield Row Efficiency Model Precision through Active Length Integration for Improved Accuracy

Popis výsledku v původním jazyce

Defensive military activities rely heavily on minefields as force multipliers; however, their efficiency can be effectively investigated by modeling. Conventional models often oversimplify vehicle-mine interactions and neglect critical factors such as minefield length, edge effects, and vehicle dynamics. This study introduces the concept of ‘active length’ to enhance the accuracy of minefield effectiveness assessment. The new model incorporates active length into the probability calculations, addressing the limitations of traditional approaches. To validate this model, simulations based-on Monte Carlo method were performed to replicate the random distribution of vehicle positions throughout the active length of the minefield. The simulations compared the traditional and new models for different minefield lengths and demonstrated that the traditional model overestimates the hit probability, particularly for shorter minefields. The new model exhibited better agreement with the simulated results while accounting for the edge effects. The findings indicate that the traditional model overestimated the probabilities for short minefields (100–300 m), whereas the new model provided more accurate predictions. With increasing minefield length (400–1,000 m), the two models converged because of decreasing edge effects. This study highlights the efficacy of including the active length in probabilistic calculations, which enhances the accuracy and offers potential applications for optimizing minefield placement and resource utilization in both military and civilian contexts.

Název v anglickém jazyce

Enhancing Minefield Row Efficiency Model Precision through Active Length Integration for Improved Accuracy

Popis výsledku anglicky

Defensive military activities rely heavily on minefields as force multipliers; however, their efficiency can be effectively investigated by modeling. Conventional models often oversimplify vehicle-mine interactions and neglect critical factors such as minefield length, edge effects, and vehicle dynamics. This study introduces the concept of ‘active length’ to enhance the accuracy of minefield effectiveness assessment. The new model incorporates active length into the probability calculations, addressing the limitations of traditional approaches. To validate this model, simulations based-on Monte Carlo method were performed to replicate the random distribution of vehicle positions throughout the active length of the minefield. The simulations compared the traditional and new models for different minefield lengths and demonstrated that the traditional model overestimates the hit probability, particularly for shorter minefields. The new model exhibited better agreement with the simulated results while accounting for the edge effects. The findings indicate that the traditional model overestimated the probabilities for short minefields (100–300 m), whereas the new model provided more accurate predictions. With increasing minefield length (400–1,000 m), the two models converged because of decreasing edge effects. This study highlights the efficacy of including the active length in probabilistic calculations, which enhances the accuracy and offers potential applications for optimizing minefield placement and resource utilization in both military and civilian contexts.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

21100 - Other engineering and technologies

Projekt

<a href="/cs/project/OYUOB20240007" target="_blank" >OYUOB20240007: BATTLE FIELD 2030+: Konfiguračně-investiční strategie rozvoje schopností ozbrojených sil ČR</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2025 10th International Conference on Military Technologies, ICMT 2025 - Proceedings

ISBN

979-8-3315-2338-1

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

—

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

27. 5. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001545807300073