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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...
Traffic information plays an important role in traffic management and control. In order to better estimate traffic states from varieties of traffic sensors, traffic data fusion techniques are employed. This paper proposes an algorithm which can fuse travel time information and local loop data. Travel times from in-car GPS or cameras can provide average journey speeds over a few road segments but fails...
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