Stochastic Navigation in Smart Cities

Stochastic Navigation in Smart Cities

In this work we show how a simple model based on chemical signaling can reduce the exploration times in urban environments. The problem is relevant for smart city navigation where electric vehicles try to find recharging stations with unknown locations. To this end we have adapted the classical ant foraging swarm algorithm to urban morphologies. A perturbed Markov chain model is shown to qualit...

International Challenges of Smart Cities

The world’s urban population is expected to be proliferated due to raised use of energy, increased air pollution, increasing traffic in urban areas, increasing usage of food, and reduced food production. There are numerous available solutions in this field, but achieving smart cities is one the furthermost effective ways. Smart city has improved ICT infrastructure as a versatile, reliable, chan...

Stochastic Classification of Urban Terrain for Smart Wheelchair Navigation

In this paper we investigate the potential for enhancing the perception capabilities of smart wheelchair systems (SWS) in an urban environment through intensity-based terrain classification. A 3D camera system was employed that provided both range and intensity (remission) measurements to objects in the scene. Each sensor measurement was represented by a feature vector consisting of range ρ, be...

Cycling intellectualization in Smart Cities

Intellectualization is the basis for managing Smart Cities. This involves infrastructure development and design of vehicles equipped with intelligent modules, which provide the control ability. Along with it, the transition to “green”, safe and sustainable modes of transport, such as bicycle, should be realized. The widespread use of environmentally friendly bicycles is constrained by a number ...

Energy Management in Smart Cities