Reconstructing the Traffic State by Fusion of Heterogeneous Data

2009/09/24 by Martin Treiber, Arne Kesting, R. Eddie Wilson · 2 citations
Physics and Astronomy · #physics.data-an #physics.pop-ph

paper · pdf · doi:10.1111/j.1467-8667.2010.00698.x

published as Computer-Aided Civil and Infrastructure Engineering 26, 408-419 (2011) · For more information see http://www.mtreiber.de or http://www.akesting.de

arxiv created 2009/09/24 · arxiv updated 2011/08/25

Abstract

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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• Calibration of a Macroscopic Coupled People-Epidemic Transport PDE Model via Density and Velocity Computation from Microscopic Data
• Discovering the Precursors of Traffic Breakdowns Using Spatiotemporal Graph Attribution Networks

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