Traffic congestion has become a crucial problem today in the urban regions all over the world. Discovering the congestion formation and propagation patterns through traffic data analysis are very useful to develop better travel services and alleviating congestions. In this thesis, we aim to capture the spatiotemporal evolution of urban road traffic networks. We propose technical methods to effectively partition road traffic networks in order to obtain the differently congested partitions, and incrementally update them in order to track their evolution in real time.
Copyright © 2017 Tarique Anwar.
Thesis submitted in fulfilment of the requirements for the degree of Doctor of Philosophy, Swinburne University of Technology, 2017.