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Towards a Prediction Model for People Movements in Urban Areas
Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation.
Technology and Society, Malmö University, Malmö, Sweden.
Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation.ORCID-id: 0000-0002-0535-1761
Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation.
2013 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The aim of this work is to develop a new type of service for predicting and communicating urban activity. This service provides short-term predictions (hours to days), which can be used as a basis for different types of resource allocation and planning, e.g. concerning public transport, personnel, or marketing. The core of the service consists of a forecasting engine that based on a prediction model processes data on different levels of detail and from various providers. This paper explores the requirements and features of the forecast engine. We conclude that agent-based modeling seems as the most promising approach to meet these requirements. Finally, some examples of potential applications are described along with analyses of scientific and engineering issues that need to be addressed.

sted, utgiver, år, opplag, sider
Association for Computing Machinery (ACM), 2013.
Emneord [en]
smart city, prediction, agent systems
HSV kategori
Identifikatorer
URN: urn:nbn:se:hj:diva-37923OAI: oai:DiVA.org:hj-37923DiVA, id: diva2:1160025
Konferanse
MASS2013, 1st International Workshop on Multiagent-based Societal Systems, Saint Paul, Minnesota, USA, 7th May, 2013
Tilgjengelig fra: 2017-11-24 Laget: 2017-11-24 Sist oppdatert: 2018-09-11bibliografisk kontrollert

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