Traffic management for smart cities
2016 (English)In: Designing, developing, and facilitating smart cities: urban design to IoT solutions / [ed] Vangelis Angelakis, Elias Tragos, Henrich C. Pöhls, Adam Kapovits and Alessandro Bassi, Switzerland: Springer, 2016, 211-240 p.Chapter in book (Other academic)
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.
Place, publisher, year, edition, pages
Switzerland: Springer, 2016. 211-240 p.
Traffic, Data acquisition, Intelligent transport system, Mathematical model, Traffic control
Transport Systems and Logistics
Research subject 20 Road: Traffic engineering, 22 Road: Traffic control and traffic information; 20 Road: Traffic engineering, 21 Road: Traffic measurement and traffic analysis
IdentifiersURN: urn:nbn:se:vti:diva-11346DOI: 10.1007/978-3-319-44924-1_11ISBN: 9783319449227 (print)ISBN: 9783319449241 (electronic)OAI: oai:DiVA.org:vti-11346DiVA: diva2:1052864
FunderTrenOp, Transport Research Environment with Novel Perspectives