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Impacts of within-day decision-making within a stochastic process traffic assignment model
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DOI：10.1016/j.trb.2026.103490.png)
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Abstract
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• We proposed a within-day decision framework and developed a Markovian-based model. • Measures on stationary distributions were proposed to quantify the model’s impact. • The framework’s impacts on stochastic traffic assignment were confirmed numerically.
Keywords:
Markov process
Day-to-day dynamics
Within-day dynamics
Stability analysis
Markov chain mixing time
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