Reconstructing the Traffic State by Fusion of Heterogeneous Data

Details Reconstructing the Traffic State by Fusion of Heterogeneous Data Reconstructing the Traffic State by Fusion of Heterogeneous Data

2009-09-24

arxiv.org/abs/0909.4467v1

Computer-Aided Civil and Infrastructure Engineering 26, 408-419 (2011)

Physics

Data Analysis, Statistics and Probability

For more information see http://www.mtreiber.de or http://www.akesting.de

Scientific paper

10.1111/j.1467-8667.2010.00698.x

We present an advanced interpolation method for estimating smooth spatiotemporal profiles for local highway traffic variables such as flow, speed and density. The method is based on stationary detector data as typically collected by traffic control centres, and may be augmented by floating car data or other traffic information. The resulting profiles display transitions between free and congested traffic in great detail, as well as fine structures such as stop-and-go waves. We establish the accuracy and robustness of the method and demonstrate three potential applications: 1. compensation for gaps in data caused by detector failure; 2. separation of noise from dynamic traffic information; and 3. the fusion of floating car data with stationary detector data.

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