Compression, estimation and prediction models for large road networks
Asif, Muhammad Tayyab
Date of Issue2016
School of Electrical and Electronic Engineering
Developing models for large road networks is not a trivial task. We propose data driven models that can help intelligent transportation systems (ITS) in dealing with issues such as managing large amount of traffic information and incomplete data sets. Furthermore, we also discuss the problem of traffic prediction in the context of large-scale networks.