The Effect of Traffic Signals on the Macroscopic Fundamental Diagram

Since the recent empirical evidence of the existence of the macroscopic fundamental diagram (MFD), there are already numerous applications for it, ranging from traffic management to traffic flow modelling. However, little is known what effect internal network control has on the shape of the MFD. This research will investigate the shape of an MFD on a regular network with and without traffic lights. To this end, we consider a regular grid network of infinite length. This is represented in a microscopic traffic simulation model as a two-ring network. We compare the situation without traffic lights to the situation with traffic lights with fixed timing. The uncontrolled case shows a higher flow for lower densities, while the controlled case shows a higher flow for higher densities. Analysis of the underlying process shows that this is due to the fact that traffic lights keep the vehicles spread more homogeneously over a network. In contrast, uncontrolled intersections result in an unstable situation where one part of the network becomes fully congested and the other part almost empty. This shows that traffic lights are reducing the performance for the low-density situations, but improving the traffic performance in high-density situation. In particular, the stability of a homogeneous spatial traffic distribution can be improved, even with fixed traffic light settings.

[1]  Vikash V. Gayah,et al.  On the impacts of locally adaptive signal control on urban network stability and the Macroscopic Fundamental Diagram , 2014 .

[2]  Serge P. Hoogendoorn,et al.  The effect of signal settings on the macroscopic fundamental diagram and its applicability in traffic signal driven perimeter control strategies , 2013, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013).

[3]  C. Daganzo,et al.  Macroscopic relations of urban traffic variables: Bifurcations, multivaluedness and instability , 2011 .

[4]  N. Geroliminis,et al.  Existence of urban-scale macroscopic fundamental diagrams: Some experimental findings - eScholarship , 2007 .

[5]  Vikash V. Gayah,et al.  Clockwise Hysteresis Loops in the Macroscopic Fundamental Diagram , 2010 .

[6]  Rachel M. Malinauskas The Intelligent Driver Model: Analysis and application to Adaptive Cruise Control , 2014 .

[7]  Serge P. Hoogendoorn,et al.  Traffic dynamics: Its impact on the Macroscopic Fundamental Diagram , 2015 .

[8]  Carlos F. Daganzo,et al.  Urban Gridlock: Macroscopic Modeling and Mitigation Approaches , 2007 .

[9]  Nikolaos Geroliminis,et al.  Properties of a well-defined Macroscopic Fundamental Diagram for urban traffic , 2011 .

[10]  N. Geroliminis,et al.  An analytical approximation for the macropscopic fundamental diagram of urban traffic , 2008 .

[11]  C. Daganzo,et al.  Effects of Turning Maneuvers and Route Choice on a Simple Network , 2011 .