Spectral decomposition of the logit Jacobian yields an adaptive MSA with linear convergence and a tractable Newton method for path-based SUE, with reported speedups on networks up to Chicago Regional size.
Transportation Research Part C: Emerging Technologies , volume=
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GenTTP is a generalized predictor that learns to forecast network-wide travel times and flows for arbitrary route choice distributions rather than only typical daily patterns.
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Spectral analysis of the logit mapping and implications for stochastic user equilibrium algorithms
Spectral decomposition of the logit Jacobian yields an adaptive MSA with linear convergence and a tractable Newton method for path-based SUE, with reported speedups on networks up to Chicago Regional size.
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Generalising Travel Time Prediction To Varying Route Choices In Urban Networks
GenTTP is a generalized predictor that learns to forecast network-wide travel times and flows for arbitrary route choice distributions rather than only typical daily patterns.