Abstract:
Applications and extensions of a dynamic network equilibrium model to the ADVANCE Network are described in this chapter. ADVANCE is a dynamic route guidance field test designed for 300 square miles (770 square kilometers) in the northwestern Chicago area. The proposed dynamic route choice model is formulated as a link-time-based variational inequality (VI) and can be solved efficiently by Janson's algorithm, DYMOD. Realistic traffic engineering-based link delay functions, instead of simplistic BPR (Bureau of Public Roads) functions, are adopted to estimate link travel times and intersection delays of various types of links and intersections. Nearly 23,000 links and 10,000 nodes are modeled in this research. The time-dependent link fl.ow, travel time, speed and queue spill back information are generated for the ADVANCE Network. The ADVANCE Network is divided into 447 zones, originally specified by the CATS (Chicago Area Transportation Study), to assign time-varying travel demand on the basis of CATS estimates for 1990.
Unexpected events that cause nonrecurrent traffic congestion are analyzed with the model. Route choice behavior based on anticipatory and non-anticipatory network conditions are considered in performing the incident analysis. This is the largest dynamic route choice solution which has been obtained thus far, to the knowledge of the authors. The model was solved using the CONVEX-C3880 at the National Center for Supercomputing Applications (NCSA), University of Illinois at Urbana-Champaign. Convergence and computational results are obtained and analyzed.
tr56.pdf