Large Population Approximations of a General Stochastic Traffic Assignment Model

DOI10.1287/opre.41.1.169zbMath0771.90035OpenAlexW2025749367MaRDI QIDQ5288149

Nancy L. Nihan, Gary Davis

Publication date: 9 August 1993

Published in: Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1287/opre.41.1.169

zbMATH Keywords

stochastic traffic assignmenttime-varying linear Gaussian process

Mathematics Subject Classification ID

Transportation, logistics and supply chain management (90B06) Stochastic network models in operations research (90B15) Probabilistic games; gambling (91A60)

Related Items

Model representation \& decision-making in an ever-changing world: the role of stochastic process models of transportation systems, On the equivalence between SUE and fixed-point states of day-to-day assignment processes with serially-correlated route choice, Intelligent transportation systems -- Enabling technologies, A continuous day-to-day traffic assignment model and the existence of a continuous dynamic user equilibrium, Day-to-day dynamics in a simple traffic network with mixed direct and contrarian route choice behaviors, A payoff-based learning procedure and its application to traffic games, A stochastic process approach for frequency-based transit assignment with strict capacity constraints, State-dependent stochastic networks. I: Approximation and applications with continuous diffusion limits, Equilibrium routing under uncertainty