A radically new approach which analytically embeds a hydrodynamic flow
model into an optimization framework is developed to solve the dynamic
traffic assignment (DTA) problem. This is the first analytical DTA model
that incorporates simulation equations as constraints to respect the
first-in-first-out (FIFO) requirement in an optimization formulation.
Network assignment is accomplished for the time-dependent
origin-destination demands based on a two-level optimization framework
which fixes the incidence indicator between the time-dependent paths and
their constituent links at one level, and then assigns traffic similar to
a static traffic assignment at the other level. Using this framework,
four DTA models are developed to address different requirements in
ATMS/ATIS. Solution procedures have been designed, implemented and
applied to various networks, including the Anaheim Testbed network, with
considerable success.
Speakers
Anthony Chen
speaker
