János Tóth, Domokos Esztergár-Kiss

Smart City

Mobility patterns

From a technological view, smartness means understanding, learning and self-awareness. Analysis and mining of sensed data from dynamic cities is an inevitable step toward making a city smart. Traces provide important information on the mobility of moving objects (e.g., humans and vehicles). It is becoming easily available in indoor and outdoor environments due to the prevalence of the global positioning system (GPS) and other localization technologies. A trace, generated by a moving object, is usually described by a temporal sequence of spatial points with their timestamps. It is simple, but conveys underlying information on people and cities, such as traffic, human activity, and social events. Trace analysis and mining can exact and reveal inherent information or knowledge about a city and its people. It will benefit broad applications, such as transportation, urban planning, public health, public security, and commerce.

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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