Figure 6 - available via license: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
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Reconstructed speeds applying each algorithm (a) SEC-AVG, (b) ASM, (c) PSM, (d) PSM-W to the training data (on the left) and resulting IMAEs comparing the reconstructed speeds to all available data (right)
Source publication
This paper studies the joint reconstruction of traffic speeds and travel times by fusing sparse sensor data. Raw speed data from inductive loop detectors and floating cars as well as travel time measurements are combined using different fusion techniques. A novel fusion approach is developed which extends existing speed reconstruction methods to in...
Context in source publication
Context 1
... a 'LOOP'-only scenario, the 'ASM' performs better. 6 visualizes the estimation results of all algorithms as well as the IMAE with respect to all available data. It can be observed that the estimate computed with the section-average approach (a) results in large errors downstream of the heavy congestion at kilometer 522. ...
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