Static collections vs dynamic forecasting and route optimisation

The smart-city model bases decisions on data derived from technologies. Now consider that one of the domains of what constitutes a smart city is waste management. In order to move towards the model of a smart city, municipals and waste management companies have to leverage a data-driven alternative to static collections, which we’re all familiar with – the schedule-based scenario of fixed routes on a fixed day.

The problem is that static collections are not sustainable. They add to pollution and waste natural and human resources. Populations are growing, and so, too, must waste management in order to find smarter solutions to service residents.

That solution is really quite simple: dynamic forecasting and route optimisation. From a purely business view, it reduces operating costs by reducing the number of vehicles you need to operate, by up to 45%. From a purely ecological view, it also reduces your CO2 emissions by up to 40%. But what is dynamic forecasting? What is route optimisation?

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