  Consider the following random spatial network: in a large disk, construct a
network using a stationary and isotropic Poisson line process of unit
intensity. Connect pairs of points using the network, with initial / final
segments of the connecting path formed by travelling off the network in the
opposite direction to that of the destination / source. Suppose further that
connections are established using "near-geodesics", constructed between pairs
of points using the perimeter of the cell containing these two points and
formed using only the Poisson lines not separating them. If each pair of points
generates an infinitesimal amount of traffic divided equally between the two
connecting near-geodesics, and if the Poisson line pattern is conditioned to
contain a line through the centre, then what can be said about the total flow
through the centre? In earlier work ("Geodesics and flows in a Poissonian
city", Annals of Applied Probability, 21(3), 801--842, 2011) it was shown that
a scaled version of this flow had asymptotic distribution given by the 4-volume
of a region in 4-space, constructed using an improper anisotropic Poisson line
process in an infinite planar strip. Here we construct a more amenable
representation in terms of two "seminal curves" defined by the improper Poisson
line process, and establish results which produce a framework for effective
simulation from this distribution up to an L1 error which tends to zero with
increasing computational effort.
