János Tóth, Domokos Esztergár-Kiss

Smart City


Clustering

Clustering is for finding hotspots, querying similar traces, mining moving patterns, and finding objects with similar traces. It is the task of grouping a set of objects so that objects in the same group are most similar. Clustering in trace analysis usually has two types of objects: points and traces. The main difference between them is that points are in the same space such as the physical world (of spatial points) or feature space (of features), while traces, which are sequences of spatial points, cannot be put into the same space directly because of different lengths (dimensions).

Smart City

Tartalomjegyzék


Kiadó: Akadémiai Kiadó

Online megjelenés éve: 2019

ISBN: 978 963 454 271 1

This course material is included in the BME Faculty of Transportation Engineering and Vehicle Engineering Master programme. The main topics of Smart City course are the followings: Paradigm shift in urban citizen’s life, Smart city introduction, definitions and evaluation methods, Land use functions and models, city planning and strategic aspects, Utilization possibilities of information from social media, Internet of Things, wireless sensor networks and Smart Grid applications, Intermodal connections with their functionalities in the Smart City, Smart solutions in transportation management, Hungarian and international best practices.

Hivatkozás: https://mersz.hu/toth-esztergar-kiss-smart-city//

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