Lu Lu

TL;DR: W-SPSA appears to outperform the original SPSA algorithm by reducing the noise generated by uncorrelated measurements in the gradient approximation, especially for DTA models of sparsely correlated large-scale networks and a large number of time intervals.

TL;DR: In this article, the authors presented W-SPSA in a formally comprehensive way, where effectively SPSA becomes an instance of WPSA, and explored alternative approaches for determining the matrix W.

TL;DR: W-S PSA is presented in a formally comprehensive way, where effectively SPSA becomes an instance of W-SPSA, and alternative approaches for determining the matrix W are explored, and it is demonstrated that, relying on a few simplifications that marginally affect the final solution, the authors can obtain W matrices that considerably outperform S PSA.

TL;DR: A methodology for the simultaneous demand-supply DTA calibration based on both aggregate measurements and disaggregate route choice observations to improve the calibration accuracy is proposed.

TL;DR: In this article, a methodology for the simultaneous demand-supply DTA calibration based on both aggregate measurements and disaggregate route choice observations is proposed to improve the calibration accuracy.