Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):

B. Heilmann, H. Koller, J. Asamer, M. Reinthaler, M. Aleksa, S. Breuss, G. Richter:
"A Data-Driven Approach for Travel Time Prediction on Motorway Sections";
Vortrag: 2014 International Conference on Connected Vehicles and Expo (ICCVE 2014), Wien; 03.11.2014 - 07.11.2014; in: "Proceedings 2014 International Conference on Connected Vehicles and Expo (ICCVE2014)", IEEE (Hrg.); (2014).

Kurzfassung englisch:
In the presented case study, travel times for
passenger cars (PC) and heavy goods vehicles (HGV) were
predicted with a data-driven, hybrid approach, using historical
traffic data of the entire high-ranking Austrian road network. In
case flow data were available, travel time was predicted with a
Kernel predictor searching for similar speed-density patterns. In
case of missing flow data, travel time was predicted with
deviations from typical historical speed time series. The
performed steps in pre-processing traffic data, the hybrid
prediction method as well as the results for selected road sections
are described and analysed.

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Erstellt aus der Publikationsdatenbank des AIT Austrian Institute of Technology.