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Probe vehicles with Global Positioning Systems (GPS) can provide accurate positions that enable spatial-average speed estimation. However, some probe vehicles cannot provide accurate positions but can provide location-specific information on when and where they are located at the segment or cell level. These topological position (TP) data with segment- or cell-level accuracy cannot provide the distance...
In this paper we propose a hybrid motorway travel time prediction framework aimed at providing pre-trip travel information in case of roadworks. The framework utilises a first order macroscopic traffic flow model to predict the consequences in travel time of changes in both traffic demand and roadway capacity. Data-driven approaches are used to estimate both demand and capacity. From a large database...
This paper proposes a new method called TravRes for accurate reconstruction of high-resolution (e.g. 500m*60sec) time-space speeds on the basis of sampled low-resolution floating car data. The new method is superior to naïve methods, methods which reconstruct time-space speeds by simply dividing travel distance by travel time between consecutive FCD samples. The new method uses an iterative trajectory...
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