Route calculation should not only be based on a static digital map. The AKTIV project investigates the approach of using the vehicle itself for collection and storing data while driving. The analysis of the so-called 'local knowledge database' can be done in two different ways: Firstly the in-vehicle system will use the local database to learn the drivers behaviour and calculate the individual time of arrival. On the other hand the data will periodically be sent to a central server and allows the estimation of average travel times per road segment. Due to an accurate analysis of historical data, received also from other sources, and monitoring the current traffic conditions, high-quality traffic information can be generated. One opportunity to provide the data is within quasi dynamic layers on the digital map. The up-coming map database formats will allow an incremental update and no longer require replacing the complete map. Providing the most up-to-date information requires wireless communication. Therefore a new broadcasting protocol (TPEG) has been developed using the high bandwidth of digital radio (DAB). In AKTIV another alternative is applied to the system, i.e. car-to-infrastructure communication. This kind of communication will reduce the reaction time e.g. between the occurrence of a traffic jam and first adopting cars using an alternative route. Here additional traffic information is generated and collected in a traffic management center as well as in the vehicle itself. This data is used as a basis for a local forecast and furthermore to support an optimized route calculation. Data provision from and to the vehicles can be realized using different bearers, such as Digital Audio Broadcast and Car-to-Infrastructure Communication. The implementation of these innovative applications on a nomadic device allows rapidly reaching a huge number of users. Therefore the integration of nomadic devices into the in-vehicle HMI is an important task.
Adaptive navigation - providing dynamic and strategic traffic information to drivers
Adaptive Navigation - Bereitstellung von dynamischen und strategischen Verkehrsinformationen für den Fahrer
2009
4 Seiten, 4 Bilder
Aufsatz (Konferenz)
Datenträger
Englisch
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