Enhancing Minefield Row Efficiency Model Precision through Active Length Integration for Improved Accuracy
The result's identifiers
Result code in 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>
Alternative codes found
RIV/60162694:G47__/26:00564531
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Enhancing Minefield Row Efficiency Model Precision through Active Length Integration for Improved Accuracy
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
21100 - Other engineering and technologies
Result continuities
Project
<a href="/en/project/OYUOB20240007" target="_blank" >OYUOB20240007: Battlefield 2030+: Configuration-Investment Strategy for Capability Development of the Armed Forces of the Czech Republic</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2025 10th International Conference on Military Technologies, ICMT 2025 - Proceedings
ISBN
979-8-3315-2338-1
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
Brno
Event location
Brno
Event date
May 27, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001545807300073