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Optimising vehicle safety: fuzzy logic-controlled automatic braking systems

N.A. Monika & Pratima Manhas

International Journal of Industrial and Systems Engineering2026https://doi.org/10.1504/ijise.2026.151665article
AJG 1
Weight
0.50

What the paper says

The alarming rise in road accidents underscores the critical need for effective vehicle brake systems. Vehicles lacking such systems are highly susceptible to accidents, resulting in devastating consequences. Human errors during driving, including delayed reaction times and distractions, contribute significantly to these incidents. An automatic braking system serves as a vital solution to maintain vehicle stability, prevent wheel lock, and avert collisions with obstacles. This study aims to achieve several objectives: design an ultrasonic sensor-based obstacle detection model, create a model for an antilock braking system (ABS). Results from the simulations indicate a substantial 22 percentage improvement in braking torque. The stopping time is improved by 30% by using fuzzy controller in place of PI controller. Consequently, this improvement results in notably shorter stopping times and distances compared to standard PID control, signifying promising advancements in vehicle safety.

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https://doi.org/https://doi.org/10.1504/ijise.2026.151665

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@article{n.a.2026,
  title        = {{Optimising vehicle safety: fuzzy logic-controlled automatic braking systems}},
  author       = {N.A. Monika & Pratima Manhas},
  journal      = {International Journal of Industrial and Systems Engineering},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1504/ijise.2026.151665},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.