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Site specific traffic input parameters were developed.
This fuzzy-based analyzer uses traffic input data from video-based analysis.
It was observed that significant differences exist between the MEPDG default and developed site-specific traffic input values.
The traffic input parameters in the Mechanistic Empirical Pavement Design Guide (MEPDG) are: (a) general traffic inputs, (b) traffic volume adjustment factors, and (c) axle load spectra (ALS).
Earlier studies [1] did not include such particularization as resources were considered as independent with regard to the traffic input statistics.
We also implement a Cisco-router based test bed, which serves to validate the mathematical, numerical, and simulation results as well as to support in understanding the QoS behaviour of realistic traffic input.
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Therefore, the present study was undertaken to assess the sensitivity of ALS and MAF traffic inputs on rutting distress of a flexible pavement.
Of these three traffic inputs, the traffic volume adjustment factors specifically monthly adjustment factor (MAF) and the ALS are widely considered to be important and sensitive factors, which can significantly affect design of and prediction of distress in flexible pavements.
Thus, instead of generating traffic flow input, we will input the system with the maximum traffic density.
Using simulation and both synthetic and traced packet traffic as input, we show that the RR/RR CICQ switch with the block transfer mechanism has a lower delay than an input queued (IQ) switch that internally uses cells.
In this paper, twelve traffic data input scenarios are developed to simulate various lengths of time coverage of traffic data collated at 20 WIM sites in Oklahoma.
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