Traffic management for smart cities
| Autor: | Jaume Barceló, Andreas Allström, Joakim Ekström, David Gundlegård, Ellen Grumert, Clas Rydergren |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Location data
Transportteknik och logistik 050210 logistics & transportation Participatory sensing Traffic data Traffic control Computer science Traffic management 05 social sciences Control (management) Context (language use) 010501 environmental sciences Communications system 01 natural sciences Data science Traffic prediction Online OD estimation Active traffic management Traffic information 0502 economics and business Key (cryptography) Transport Systems and Logistics 0105 earth and related environmental sciences |
| Zdroj: | Designing, Developing, and Facilitating Smart Cities ISBN: 9783319449227 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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