EXPERIMENTAL APPROACH FOR OPTIMAL LOCATION OF SPEED BUMPS USING CLASSICAL DESIGN OF EXPERIMENT METHOD
Abstract
The optimal placement of speed bumps play a crucial role in traffic management and ensuring safety on roadways. This study investigated the ideal location for speed bumps using experimental approach based on the classical design of experiment method. The effects of the independent process variables; number of passengers (1 - 5 passengers), car speed (5 - 30 m/s), surface inclination (0 – 7 degree) and the response variable, (distance of bump placement) were optimized to improve the process. The process parameters were analyzed and optimized through a set of experiments designed by central composite design (CCD) using response surface methodology (RSM) procedure in the DESIGN EXPERT environment. The obtained statistical model was found to be suitable for predicting the optimum distance of the speed bump from the stop point. Statistical checks were done on the model using least square method, ANOVA and T-test. The Optimum condition of distance was obtained from the combination where all the process variables were maximum i.e. Number of passengers (5 passengers), car speed (30 m/s) and surface inclination (7 degree). The distance during optimum treatment was observed to be approximately 16.66m. The optimized parameters were verified and validated through a validation experiment, which concurs with the predicted optimal value in the design of experiment and also in line with the recommended standards used for the study.
KEYWORDS: Â Speed bumps, Classical Design of Experiments (DOE), Response Surface method (RSM), ANOVA, Central Composite Design (CCD
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