Recent Advances In Stochastic Modeling And Data Analysis
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In general there are two approaches in tackling the problem. The second approach models the competitive technologies penetration separately where their intrinsic and competitive effects are explicitly represented into the relevant models. The purpose of this paper is to review the existent modeling approaches of technology substitution and analyze the factors affecting the interrelationship between the competing technologies. Finally, the models under review will be used to describe the substitution of the dial-up by the broadband technology for internet connectivity purposes and the models' fitting and forecasting performance is illustrated. Technological change is a dynamic and multidimensional phenomenon involving substitution and diffusion of technologies. In this process new technologies are entered into the market while the old ones are displaced. The first approach is using the replacing factor as the measure of technology substitution assuming that it is a function of market share captured by the technology or/and the time elapsed since technology introduction into the economic system. Various models have been constructed to explore the principles of technology substitutions.
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That’s my point. I think we should probably concentrate in this thread on the balance between earnings and free time — and future free time (i.e. retirement) *for you*, and strategies for getting there, rather than debate whether I, say, earn a lot.
Model-based methods appear now as very promising ways in order to reach this purpose. Not only shall we show that travel time prediction is successfully realized, but also that we are able to estimate, in real time, the motorway traffic conditions, even on points with no measurement facilities, having, in a way, designed a virtual sensor. Real-time estimation and short-term prediction of traffic conditions is one of major concern of traffic managers and ITS-oriented systems. Such methods are already used in process control (Kalman filtering, Luenberger observers). In the application presented in this paper, due to the high non linearity of the traffic models, particle filter (PF) approach is applied in combination with the well-known first order macroscopic traffic model.
