Team # 4329 4 of 16
Table 1: Distinguishing Features of Roundabouts and Traffic Circles [4]
Modern Roundabout Traffic Circle
Control at Entry Yield sign for entering vehi-
cles.
Stop, s ignal or give priority to
entering vehicles
Operational
Characteristics
Vehicles in the roundabout
will have a priority over the
entering vehicle.
Allow weaving areas to resolve
the conflicted movement
Deflection Use deflection to control the
low speed operation through
roundab out.
Some large traffic circles pro-
vide straight path for major
movement with higher speed.
Parking No parking is allowed on the
circulating roadway.
Some larger traffic circles per-
mit parking within the circu-
lating roadway.
Pedestrian
Crossing
No pedestrian activities take
place on the central island
Some larger traffic circles
provde for pedestrian crossing
to, and activities on, the cen-
tral island.
Turning Move-
ment
All vehicles circulate around
the central island.
Mini-traffic circles, left-
turning vehicles are expected
to pass to the left of the
central island.
1.2 Objectives
Our goal is to find the optimal roundabout design for any given intersection. We thus
need a m etric with which to evaluate roundabout efficiency. In order to create such a
metric, we define the optimal roundabout as the one that allows the greatest
possible throughput of vehicles while minimizing the delay experienced by
vehicles. For any given set of traffic conditions, our objective is then to determine
roundab out design and parameters that will maximize throughput.
1.3 Advantages of a Macroscopic Model
There are two prominent types of models currently being used to simulate traffic flow,
microscopic and macroscopic. Microscopic mo dels focus on individual drivers, and their
choices based on their environments. On the other hand, macroscopic models consider
large groups of vehicles at once, and model them as fluids, or with other physical analogies.
Microscopic models may give a significant amount of information about individual vehicles
in a traffic stream, but they rely heavily on extensive data about very sp ec ific vehicle
interactions.[5] They are thus highly prone to error due to small variation in the many
parameters that they require. Additionally, because we are only interested in optimizing
global quantities, a microscopic model provides us with extraneous information. In the
case of roundabouts, drivers have relatively few choices in the paths that they take, so we
can achieve an equal amount of control over the flow of traffic with a macroscopic model.
Moreover, the data required by a macroscopic model, such as measures of flow and speed,
are easily acquired through routine traffic counting, whereas the data for microscopic
models is much more difficult to measure and quantify. Finally, the set of factors that
influence throughput are all macroscopic features of the roundabout, and are thus readily
incorporated into a macroscopic model.[7]