| Bibtype | Inproceedings |
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| Bibkey | Niehoefer/etal/2012b |
| Author | Niehoefer, Brian and Lehnhausen, Sarah and Wietfeld, Christian |
| Title | Combined Analysis of Local Ionospheric and Multipath Effects for Lane-Specific Positioning of Vehicles within Traffic Streams |
| Booktitle | Proc. of 6th ESA Workshop on Satellite Navigation Technologies (NaviTech) |
| Address | Noordwijk, The Netherlands |
| Abstract | The accuracy of satellite positioning systems like GPS, Glonass or the future Galileo are increasing continuously, whereby applications in areas like navigation, location-based services and logistics management are the main beneficiaries of these technological improvements. But, despite all progress in satellite and localization technology, there are still many elements of uncertainty in evaluating the satellite positioning accuracy for a specific point on earth to a given time. The direct receiver's surrounding or ionospheric effects are just two examples which highly affect the positioning precision. Applications using satellite positioning systems are limited to services which do not rely on a permanently guaranteed localization accuracy. One possibility to include the influences is empirical or semi-empirical wave-propagation, whereby many occurring
phenomenas are already gathered in analytical models. But those are mostly based on real world measurements in a specific environment and thus, not generally valid. To overcome this limitation and to enhance future applications, the Communication Networks Institute has developed, in the context of the Collaborative Research Project 876 of the German Research Foundation, a highly accurate simulation model which allows to determine the localization accuracy using raytracing technology and ionospheric considerations for a given satellite constellation at a random position on earth. The framework include all influences of the ionosphere as well as the receiver's surrounding which have a non-negligible effect to the localization signal. Thereby separated tools, like protocol simulator, raytracer and 3D visualizing tools are combined with heterogeneous data sources like weather or model databases and EGNOS data (via SISNeT) within a multiscale simulation framework. To clarify the benefit, the gained additional information is exemplary used to enhance 'lane-specific' traffic-flow predictions using microscopic traffic models, like the Nagel-Schreckenberg Model [1]. This enhancement would have a crucial impact on traffic forecasts and/or -news considering daily fluctuations in all traffic networks, due to accidents or road works. |
| Month | December |
| Year | 2012 |
| Projekt | SFB876-B4 |
| Bibtex | Here you can get this literature entry as BibTeX format. |
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