Macroscopic emission modelling for urban networks

Abstract

An innovative methodology/framework has been proposed in this thesis for the effective application of well-known two-fluid model (TFM) on road emissions of urban networks to estimate the network-wide traffic-related emissions state at macroscopic level. This is demonstrated by developing an analytical model that illustrates the relationship between the parameters of the TFM and corresponding emissions of the traffic network. Hence the main contribution of this research study is the proposed hypothesis and consequently the formulation of a new model that estimates and evaluates the dynamic road emissions assessment at the network level in macroscopic manner. In addition, this study validates the feasibility of using the TFM to estimate vehicular emissions. The findings of the research are justified with two simulation experiments with two unique road networks. First network covers a part of Orlando downtown in United States, while the second network is artificial grid network with a number of roundabout intersections with uniform settings. The research approach is to analyse the performance of traffic for entire network which include number of roads, links and intersections excluding examining the performance of traffic intersection separately. Further investigations in this thesis were completed through empirical data collected from real case studies in order to discover the relation between the macroscopic fundamental diagram (MFD) properties (flow, density and speed) and road emissions.