01658877

Component

https://doi.org/10.3141/2667-10

Effective real-time traffic management strategies often require dynamic traffic assignment systems that are calibrated online. But the computationally intensive nature of online calibration limits their application to smaller networks. This paper presents a dimensionality reduction of the online calibration problem that is based on principal components to overcome this limitation. To demonstrate this approach, the origin– destination flow estimation problem is formulated in relation to its principal components. The efficacy of the procedure was tested with real data on the Singapore Expressway network in an open-loop framework. A reduction in the problem dimension by a factor of 50 was observed with only a 2% loss in estimation accuracy. Further, the computational times were reduced by an order of 100. The procedure led to better predictions, as the principal components captured the structural spatial relationships. This work has the potential to make the online calibration problem more scalable.

01658386

17-04138

English

pp 96-107

2017

Transportation Research Record: Journal of the Transportation Research Board

9780309460446

Digital/other

Figures; Maps; References; Tables

Calibration; Dynamic traffic assignment; Expressways; Highway traffic control; Origin and destination

Singapore

Highways; Operations and Traffic Management; Planning and Forecasting

TRIS, TRB, ATRI

Feb 1 2018 11:10AM

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