AutoMat
The core intention of the AutoMat project is to establish a novel and open ecosystem in the form of a cross-border Vehicle Big Data Marketplace that leverages currently unused information gathered from a large amount of vehicles from various brands. The interface to the marketplace is derived from a brand-independent Common Vehicle Information Model (CVIM) that makes aggregated vehicle data accessible to cross-sectorial service providers. AutoMat intends to reduce the costs for realizing and providing services based on vehicle data.
Project duration: 01.04.2015 - 31.08.2018
The core intention of the AutoMat project is to establish a novel and open ecosystem in the form of a cross-border Vehicle Big Data Marketplace that leverages currently unused information gathered from a large amount of vehicles from various brands. The interface to the marketplace is derived from a brand-independent Common Vehicle Information Model (CVIM) that makes aggregated vehicle data accessible to cross-sectorial service providers. AutoMat intends to reduce the costs for realizing and providing services based on vehicle data, by achieving the following:
- Creation of an open ecosystem for provisioning of manufacturer and service provider independent vehicle data
- Single point of data access for service providers via the Marketplace
- Definition of standardized and open interfaces for unconstrained data access
- Specification of the Common Vehicle Information Model (CVIM) data format that enables harmonized, generic vehicle data access
- Provision of a broad spectrum of collected data due to different participating OEMs
- Definition and prototyping of Vehicle Big Data Marketplace concept as mediator between vehicle data and cross-sectorial service providers
- Validation of the AutoMat concept by developing cross-sectorial (non-automotive) example services, e.g.: Meteorological Data based Hyper Local Services and Extended Innovative Enterprise Services
- Development, definition and validation of a market business model and its value chain as well as stimulating the market participation by an open call for services and application
Further information:
News
Publications
Exploiting Map Topology Knowledge for Context-predictive Multi-interface Car-to-cloud Communication
B. Sliwa, J. Pillmann, M. Klaß, C. Wietfeld,
In 2018 IEEE 88th IEEE Vehicular Technology Conference (VTC-Fall), Chicago, USA, August 2018.
Efficient and Reliable Car-to-Cloud Data Transfer Empowered by BBR-enabled Network Coding
J. Pillmann, D. Behnke, B. Sliwa, M. Priebe, C. Wietfeld,
In 2018 IEEE 88th IEEE Vehicular Technology Conference (VTC-Fall), Chicago, USA, August…
Resource-efficient Transmission of Vehicular Sensor Data Using Context-aware Communication
B. Sliwa, T. Liebig, R. Falkenberg, J. Pillmann, C. Wietfeld,
In 19th IEEE International Conference on Mobile Data Management, Aalborg, Denmark,…
The AutoMat CVIM - A scalable data model for automotive big data marketplaces
J. Pillmann, B. Sliwa, C. Wietfeld,
In 19th IEEE International Conference on Mobile Data Management (MDM), Aalborg, Denmark, June 2018.
tinyLTE: Lightweight, Ad Hoc Deployable Cellular Network for Vehicular Communication
F. Eckermann, P. Gorczak, C. Wietfeld,
In IEEE Vehicular Technology Conference (VTC-Spring), June 2018.
Efficient Machine-type Communication using Multi-metric Context-awareness for Cars used as Mobile Sensors in Upcoming 5G Networks
B. Sliwa, T. Liebig, R. Falkenberg, J. Pillmann, C. Wietfeld,
In IEEE Vehicular Technology Conference (VTC-Spring), Porto, Portugal, June 2018.
Empirical Evaluation of Predictive Channel-Aware Transmission for Resource Efficient Car-To-Cloud Communication
J. Pillmann, B. Sliwa, C. Kastin, C. Wietfeld,
In IEEE Vehicular Networking Conference (VNC), Torino, Italy, November 2017.
ScalaNC - Scalable heterogeneous link aggregation enabled by Network Coding
D. Behnke, et al.,
In 13th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2017), October 2017.
Novel Common Vehicle Information Model (CVIM) for Future Automotive Vehicle Big Data Marketplaces
J. Pillmann, C. Wietfeld, A. Zarcula, T. Raugust, D. C. Alonso,
In IEEE Intelligent Vehicles Symposium., June 2017.
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Location & approach
The campus of TU Dortmund University is located close to interstate junction Dortmund West, where the Sauerlandlinie A 45 (Frankfurt-Dortmund) crosses the Ruhrschnellweg B 1 / A 40. The best interstate exit to take from A 45 is “Dortmund-Eichlinghofen” (closer to South Campus), and from B 1 / A 40 “Dortmund-Dorstfeld” (closer to North Campus). Signs for the university are located at both exits. Also, there is a new exit before you pass over the B 1-bridge leading into Dortmund.
To get from North Campus to South Campus by car, there is the connection via Vogelpothsweg/Baroper Straße. We recommend you leave your car on one of the parking lots at North Campus and use the H-Bahn (suspended monorail system), which conveniently connects the two campuses.
TU Dortmund University has its own train station (“Dortmund Universität”). From there, suburban trains (S-Bahn) leave for Dortmund main station (“Dortmund Hauptbahnhof”) and Düsseldorf main station via the “Düsseldorf Airport Train Station” (take S-Bahn number 1, which leaves every 20 or 30 minutes). The university is easily reached from Bochum, Essen, Mülheim an der Ruhr and Duisburg.
You can also take the bus or subway train from Dortmund city to the university: From Dortmund main station, you can take any train bound for the Station “Stadtgarten”, usually lines U41, U45, U 47 and U49. At “Stadtgarten” you switch trains and get on line U42 towards “Hombruch”. Look out for the Station “An der Palmweide”. From the bus stop just across the road, busses bound for TU Dortmund University leave every ten minutes (445, 447 and 462). Another option is to take the subway routes U41, U45, U47 and U49 from Dortmund main station to the stop “Dortmund Kampstraße”. From there, take U43 or U44 to the stop “Dortmund Wittener Straße”. Switch to bus line 447 and get off at “Dortmund Universität S”.
The AirportExpress is a fast and convenient means of transport from Dortmund Airport (DTM) to Dortmund Central Station, taking you there in little more than 20 minutes. From Dortmund Central Station, you can continue to the university campus by interurban railway (S-Bahn). A larger range of international flight connections is offered at Düsseldorf Airport (DUS), which is about 60 kilometres away and can be directly reached by S-Bahn from the university station.
The H-Bahn is one of the hallmarks of TU Dortmund University. There are two stations on North Campus. One (“Dortmund Universität S”) is directly located at the suburban train stop, which connects the university directly with the city of Dortmund and the rest of the Ruhr Area. Also from this station, there are connections to the “Technologiepark” and (via South Campus) Eichlinghofen. The other station is located at the dining hall at North Campus and offers a direct connection to South Campus every five minutes.
The facilities of TU Dortmund University are spread over two campuses, the larger Campus North and the smaller Campus South. Additionally, some areas of the university are located in the adjacent “Technologiepark”.
Site Map of TU Dortmund University (Second Page in English).