In the last decade, a lot of attention has been paid to microscopic
simulation models due to their capability of wide-range application and
realistic representation of vehicle movement. Microscopic simulation
models often incorporate many traffic control schemes such as route
guidance (in-vehicle navigation systems and variable message signs),
adaptive intersection signal controls, incident management schemes, ramp
metering, variable speed limit signs and high occupancy vehicle and toll
lanes.
The primary difficulty with microscopic simulations is the inability to
handle large networks in an efficient manner, both in terms of speed of
simulation and accuracy of the data sets required to build these
networks. Consequently, it becomes even more difficult to calibrate
simulation models for large networks. This research attempts to solve
these problems by using distributed processing techniques.
Broadly, this project will focus on some key issues, namely