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The Potential of Floating Car Data for Calibrating Origin-Destination Matrices

Hazenberg, L.W. (2025) The Potential of Floating Car Data for Calibrating Origin-Destination Matrices.

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Abstract:Origin-Destination (OD) matrices are model constructs used to estimate travellers’ movements. Typically, they are calibrated using traffic counts to ensure they align as closely as possible with actual traffic conditions. However, this method has limitations, raising the question of whether alternative data sources, such as Floating Car Data (FCD), could mitigate these shortcomings. FCD, derived from GPS tracking, provides trip origin and destination data but is subject to sampling biases and processing inconsistencies, raising concerns about its representativeness. This study assesses FCD’s representativeness for OD matrix calibration through multiple analyses. The results showed that the OD relations of FCD are not representative, as it exhibits sampling bias and logical inconsistencies, such as unrealistic trip origins and destinations. However, the study revealed that FCD can be useful for estimating traffic volumes and vehicle distribution at off-ramps, enabling the generation of virtual traffic counts. Therefore, the study explored the integration of virtual traffic counts into the calibration process using different placement approaches. While the overall impact of FCD on calibration remains uncertain due to inconclusive results, the findings suggest that further research is needed to refine its integration into OD matrix calibration.
Item Type:Essay (Master)
Clients:
Sweco, De Bilt, Nederland
Faculty:ET: Engineering Technology
Subject:55 traffic technology, transport technology
Programme:Civil Engineering and Management MSc (60026)
Link to this item:https://purl.utwente.nl/essays/105396
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