Dynamic route choice model of large-scale traffic network
- Univ. of Illinois, Chicago, IL (United States)
- Oak Ridge National Lab., TN (United States)
- Univ. of Colorado, Denver, CO (United States). Dept. of Civil Engineering
- Portland State Univ., OR (United States). Dept. of Civil Engineering
Application and extensions of a dynamic network equilibrium model to the Advanced Driver and Vehicle Advisory Navigation Concept (ADVANCE) Network are described in this paper. ADVANCE is a dynamic route guidance field test designed for 800 km{sup 2} in the northwestern suburbs of Chicago. The dynamic route choice model employed in this paper is solved efficiently by a modified version of Janson`s DYMOD algorithm. Realistic traffic engineering-based link delay functions, instead of the simplistic Bureau of Public Roads (BPR) function, are used to estimate link travel times and intersection delays for most types of links and intersections. Further, an expanded intersection representation is utilized, resulting in a network of nearly 23,000 links and 10,000 nodes. Time-dependent link flows, travel times, speeds and queue spillbacks are generated for the ADVANCE Network. The model was solved on a CONVEX-C3880. Convergence and computational results are presented and analyzed.
- Sponsoring Organization:
- Federal Highway Administration, Washington, DC (United States); Oak Ridge National Lab., TN (United States)
- OSTI ID:
- 522386
- Journal Information:
- Journal of Transportation Engineering, Journal Name: Journal of Transportation Engineering Journal Issue: 4 Vol. 123; ISSN JTPEDI; ISSN 0733-947X
- Country of Publication:
- United States
- Language:
- English
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