Modelling Communication Networks for Active Traffic Management

Detta är en Kandidat-uppsats från KTH/Skolan för teknikvetenskap (SCI)

Författare: Jens Fagerberg; Lucas Bergstrans; [2018]

Nyckelord: ;

Sammanfattning: Abstract—Emissions, travel times and traffic congestions in urban areas have become a central issue with increasing urban- isation. By actively monitoring and managing traffic flow via traffic lights there can be extensive improvements in these areas. To enable communication between infrastructure components an underlying network is needed to route information. These networks can be both centralised and decentralised which both have advantages and disadvantages. By studying and modifying existing network models, such as the Bara´basi-Albert and Erdo˝s- Re´nyi, an algorithm that generate a robust and safe communi- cation network can be constructed, which has been the main goal of the project. To ensure that an optimal model is being used, robustness was analysed by comparing parameters such as average node degree, network diameter, clustering and effi- ciency. Network robustness was prioritised as it ensures network reliability and resilience and this led to the conclusion that a decentralised network model was suitable for the application.

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