Prethodno priopćenje
https://doi.org/10.7307/ptt.v25i6.1188
The Best Location for Speed Bump Installation Using Experimental Design Methodology
Alireza Khademi
; Dept. of Manufacturing & Industrial Engineering, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia (UTM), Skudai, Johor 81310, Malaysia
Nafiseh Ghorbani Renani
; Dept. of Manufacturing & Industrial Engineering, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia (UTM), Skudai, Johor 81310, Malaysia
Maryam Mofarrahi
; Dept. of Manufacturing & Industrial Engineering, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia (UTM), Skudai, Johor 81310, Malaysia
Alireza Rangraz Jeddi
; Dept. of Manufacturing & Industrial Engineering, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia (UTM), Skudai, Johor 81310, Malaysia
Noordin Mohd Yusof
; Professor, Deputy Dean Development, Dept. of Manufacturing & Industrial Engineering, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia (UTM), Skudai, Johor 81310, Malaysia
Sažetak
Speed bumps, as traffic calming devices, have been extensively used to reduce traffic speed on local streets. This study represents a unique application of experimental design methodology where the effects of some controllable factors in determining the best location for installing speed bumps before stop points (e.g. entry gates, road junctions) were investigated. Through Classical Design of Experiments (DOE), the optimum location of the speed bump was obtained based on the graphical plots of the significant effects. The speed at the stop point was treated as the response and minimum speed is desirable. Design-Expert® software was used to evaluate and analyze the results obtained. The suggested mathematical model effectively explains the performance indicators within the ranges of the factors. The car speed is the most significant factor that affects the distance-time in comparison with other factors, which provides secondary contributions.
Ključne riječi
speed bump location; Classical Design of Experiments (DOE); full-factorial design; distance-time; local optimum point
Hrčak ID:
114438
URI
Datum izdavanja:
16.12.2013.
Posjeta: 2.470 *