Variation of consumer demand for broadband speed over time based on selection of products (eg. AnyLogic and Pathmind webinar recording that demonstrates how the Pathmind platform can ease the introduction of deep reinforcement learning (DRL) capabilities into AnyLogic projects.Consumer choice algorithm based on availability of technologies, customer profile and ranking of providers.Geographical mapping of populations densities and technology coverage areas.Inclusion of cost models (CAPEX/OPEX) and revenue models (ARPU).Multiple internet service providers, each offering multiple technologies.Segmentation of the market by multiple customer types.Key features of the modelling tool developed include: telephone exchange or base station) which ultimately setup a choice matrix of technologies and providers for that particular consumer.Ī user interface was created in which a map of the geographical area of a single telephone exchange could be overlaid with both the location characteristics of households (density and consumer type) and of technologies' coverage. AnyLogic for healthcare simulation is a proven environment for the risk-free development and evaluation of healthcare policies and facilities, pharmaceutical operations, and studies in epidemiology. Critical to the consumer choice behaviour in the model were the geographical aspects of the consumer's location in relation to technology sources (eg. Modeling ApproachĮvans & Peck and Alcatel Australia jointly developed an agent based consumer choice model which allows scenario analysis on the potential impact to providers over the next 10 years. The choice of technology roll-out by providers must balance technology roll-out cost, technology limitations of broadband speed decreasing with distance from the source, and consumer’s demand for internet services requiring increasing broadband speeds over time. Telecommunications providers are seeking to capitalise on the growth potential of broadband internet services in Australia.
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