Smart City Gnosys

Smart city article details

Title	Traffic Management For Smart Cities
ID_Doc	58622
Authors	Allström A.; Barceló J.; Ekström J.; Grumert E.; Gundlegård D.; Rydergren C.
Year	2016
Published	Designing, Developing, and Facilitating Smart Cities: Urban Design to IoT Solutions
DOI	http://dx.doi.org/10.1007/978-3-319-44924-1_11
Abstract	Smart cities, participatory sensing as well as location data available in communication systems and social networks generates a vast amount of heterogeneous mobility data that can be used for traffic management. This chapter gives an overview of the different data sources and their characteristics and describes a framework for utilizing the various sources efficiently in the context of traffic management. Furthermore, different types of traffic models and algorithms are related to both the different data sources as well as some key functionalities of active traffic management, for example, short-term prediction and control. © Springer International Publishing Switzerland 2017.
Author Keywords	Online OD estimation; Traffic control; Traffic data; Traffic information; Traffic management; Traffic prediction

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