Traffic management for smart cities

• 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.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Samhällsbyggnadsteknik -- Transportteknik och logistik (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Civil Engineering -- Transport Systems and Logistics (hsv//eng)

Keyword

Traffic

Data acquisition

Intelligent transport system

Mathematical model

Traffic control

22 Road: Traffic control and traffic information

22 Road: Traffic control and traffic information

21 Road: Traffic measurement and traffic analysis

21 Road: Traffic measurement and traffic analysis

Publication and Content Type

vet (subject category)

kap (subject category)