Bestimmung von Wegen und Verkehrsmitteln mittels Ortungstechnologien – Stand der Technik und Herausforderungen

Bock, Benno; Loewel, Thomas; Rosch, Johannes; Ritzer, Josef; Lienkamp, Markus; Twele, Heike; Stürzekarn, Dirk

doi:10.1007/978-3-658-01848-1_4

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Data Source and Preprocessing1

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2016

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“…Besides the mobility data acquisition, an electric vehicle is simulated in a smartphone application [11]. The original GPS, speed information, and the simulated data are transferred to the server infrastructure according to [1]. The sample time of the GPS data as main information is one second.…”

Section: Data Source and Preprocessingmentioning

confidence: 99%

An approach for predicting vehicle velocity in combination with driver turns

Lohrer

Lienkamp

2016

Automot. Engine Technol.

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Statistical information such as average traffic flow on a road network link are not precise enough to enable detailed in-vehicle optimization strategies. Energy efficiency measures are further restricted if the vehicle is not aware of the destination of the trip. A modular and dynamic approach for predicting the vehicle speed in combination with driver turns is introduced. The objective is to adapt the vehicle components to the upcoming speed and state. The cloud-based approach foregoes the user-based selection of a route, trip destination or individual points of interest but is mainly based on historic speed profiles of different drivers. The concept provides a two-stage approach. The first stage is the prediction of upcoming turns and trip segments based on the historical features and the currently driven road segments. The second stage uses this information to predict the vehicle's speed.

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Section: Data Source and Preprocessingmentioning

confidence: 99%