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Dynamic traffic assignment for urban road networks

Conference ·
OSTI ID:5312091
 [1]
  1. Oak Ridge National Lab., TN (USA)
This paper describes a dynamic traffic assignment (DTA) algorithm for urban road networks. The DTA algorithm is intended for application to large transportation planning networks with flow dependent travel costs and multiple origin and destination zones. The static user-equilibrium assignment problem (SUE) is a nonlinear programming problem with linear constraints that is typically solved by methods of linear combinations. The dynamic user-equilibrium assignment problem with multiple origins and destinations (DUE) is a nonlinear programming problem with nonlinear constraints that cannot be solved by these methods. Moreover, the constraints needed to ensure temporal flow continuity at the nodes cannot be properly specified within DUE. DTA is not a solution algorithm for DUE, but was designed instead to produce assignments that approximate the optimality conditions of DUE. Alternative approaches to dynamic assignment are discussed, including those that have been formulated as optimization problems and others that have been developed to simulate or approximate observed traffic conditions. Test results presented in this paper show that DTA generates both static and dynamic assignments that approximately satisfy the user-equilibrium conditions of those problems. 23 refs., 2 figs., 3 tabs.
Research Organization:
Oak Ridge National Lab., TN (USA)
Sponsoring Organization:
FHWA
DOE Contract Number:
AC05-84OR21400
OSTI ID:
5312091
Report Number(s):
CONF-900121-2; ON: DE89016260
Country of Publication:
United States
Language:
English