Abstract
A route trajectory is described as the upcoming course of the road in geographical terms as well as in terms of time. This enables the possibility of providing context-aware applications in modern vehicles. In order to generate such a trajectory with its context aware information, it is still necessary to enter a destination point into a navigation system. However, the most frequent commutations (drives, trips) are to known destinations and are therefore not performed with any active guidance system. This means that the prediction must be determined in a different manner. This paper presents a method, which predicts the route trajectory of a vehicle based on the travel history of its user. In addition to the traveled distance further context parameters are used for the prediction. These parameters include the current time of day, day of week and the route frequency, which indicates the number of times a particular route has already been traveled. Moreover, the developed prediction is evaluated in a volunteers study with about 500 rides and about 9.500 driven kilometers. The results show that in 80 percent of the cases the forward-lying path can be predicted correctly.
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Helmholz, P., Ziesmann, E., Robra-Bissantz, S. (2013). Context-Awareness in the Car: Prediction, Evaluation and Usage of Route Trajectories. In: vom Brocke, J., Hekkala, R., Ram, S., Rossi, M. (eds) Design Science at the Intersection of Physical and Virtual Design. DESRIST 2013. Lecture Notes in Computer Science, vol 7939. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38827-9_30
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DOI: https://doi.org/10.1007/978-3-642-38827-9_30
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