Abstract
In this paper, we discuss data models and data mining for bicycles in Smart Cities. Mobility issues (or Smart Mobility) are one of the main components of Smart Cities. Bicycles, as a transport component in the cities, are on the rise all over the world. At least, it is true for all areas where the climate even minimally allows it. The reasons are quite obvious. This is democratic and accessible this type of transport, it is cheap and environmental friendliness. Of course, the promotion of a healthy lifestyle also plays its role. The development of this type of transport (like any other) has many different aspects. In this paper, we dwell on the issues of tracking the movement of cyclists and planning bike-sharing systems. All this information will serve as a set of metrics for any design in Smart Cities.
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Dmitry Namiot, Manfred Sneps-Sneppe On Bikes in Smart Cities. Aut. Control Comp. Sci. 53, 63–71 (2019). https://doi.org/10.3103/S0146411619010085
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DOI: https://doi.org/10.3103/S0146411619010085