  At an unmanaged intersection, it is important to understand how much traffic
delay may be caused as a result of microscopic vehicle interactions.
Conventional traffic simulations that explicitly track these interactions are
time-consuming. Prior work introduced an analytical traffic model for unmanaged
intersections. The traffic delay at the intersection is modeled as an
event-driven stochastic process, whose dynamics encode microscopic vehicle
interactions. This paper studies the traffic delay in a two-lane intersection
using the model. We perform rigorous analyses concerning the distribution of
traffic delay under different scenarios. We then discuss the relationships
between traffic delay and multiple factors such as traffic flow density,
unevenness of traffic flows, temporal gaps between two consecutive vehicles,
and the passing order.
