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This paper introduces the concept of equivalent factors for converting heterogeneous pedestrian flow into equivalent base flow derived from vehicle traffic methodologies.
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These moments can be predicted using traffic forecasting methodologies.
We focus on macroscopic approaches in static/dynamic, deterministic/stochastic/robust evacuation modeling that consider different evacuee behavior assumptions, traffic assignment methodologies and supply and demand management strategies.
We have argued that the traffic forecasting methodology proposed in [2] can be regarded as a data mining methodology and can be adapted for WiMAX traffic prediction.
The algorithm of the traffic analysis methodology proposed in [2] is presented in Figure 1. Figure 1 The forecasting methodology proposed in [[2]].
One of the most important stages of the proposed WiMAX traffic forecasting methodology is the evaluation.
This is a first attempt to develop a network-level traffic control methodology by using the emerging CV technology.
So, the adaptation of the traffic forecasting methodology presented in Figure 1, in the case of the wireless traffic, consists in the optimization of the ANOVA procedure, as can be seen in Figure 16 (we considered a second parameter, γ, and we enphasized this modification using the red circle).
A microscopic traffic simulation based methodology is used and its feasibility for studying safety aspects of route choice is assessed.
For accurate prediction of rail life for given combinations of wheel/rail materials and traffic conditions, the methodology needs to be calibrated by field measurements.
Afterwards, French, UK and Shell methods currently in use in Europe will be presented, underlining their main components in terms of methodology, traffic, climatic conditions and subgrade.
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