01517547

Component

https://doi.org/10.3141/2467-04

The paper presents a real-time traffic network state estimation model with online demand consistency checking and updating capabilities. In contrast to reactive-based methodologies proposed in the literature, the model adopted a time rollback with a corrective actions approach. When an instance of inconsistency between the measured and estimated network state was observed, the model was allowed to roll back in time and promptly resimulated a predefined past period after the appropriate model’s parameters were adjusted to minimize the observed inconsistency. A demand correction algorithm was developed and used for demand adjustment for each rollback period. The results of applying the developed model for a test bed network are presented. Results show that the approach improves the model’s consistency with real-world observations.

01559856

14-1749

English

pp 30–39

2014

Transportation Research Record: Journal of the Transportation Research Board

9780309295611

Print

Figures (8) ; References (23)

Algorithms; Methodology; Networks; Origin and destination; Traffic estimation; Traffic simulation

Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Jan 27 2014 2:38PM

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