Fig. 6

Traffic flow estimation of the Chur scenario. a The Chur network where the initial traffic flow defines the edge width. Relative differences between the SLN model and the NiN model respectively and the results of the traffic flow simulations are colour-coded. Overestimations of the traffic flows are coloured red, underestimations blue. Dark red edges (i.e. a value of 2) indicate a traffic flow assignment on edges that do not carry traffic. b Histogram for the Chur scenarios where 15 edges were randomly removed. The bin at 0 shows the correctly assigned traffic flows, while the bin at 2 shows the flow assignment to edges that should not have any traffic flow. In contrast, at −2 the bin illustrates an underestimation of traffic flow, where certain traffic flow is observed, but the model estimate is 0