Thanks for a great Analytics and Data Summit 2019 event. We hope to see you next year Feb 25-27, 2020!
To download the presentations you must first sign up with Sched for free (easy and fast!)
  • Sessions appear in the color of their primary track and can be filtered using Products on the right
  • Use the Search bar for more flexibility
See this link for hints on how to search the schedule

Back To Schedule
Wednesday, March 13 • 11:35am - 12:00pm
Addressing Mobility Challenges in Transportation Using Spatial Analysis

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

Feedback form is now closed.
The German Aerospace Center (DLR), Germany’s national aeronautics research centre, includes an Institute of Transportation Systems that focuses on ground-based transportation research, such as urban and rural mobility, traffic management, and next generation vehicles. We use Oracle Database spatial features to store and analyze high volumes of infrastructure, vehicle and passenger data. This data also supports applications such as routing, multi-model traffic management, HD maps for vehicle assistance.

In a mobility use case, we track data from travelers’ smartphones, sent to a central database for analysis. We try to detect which transportation mode the traveler is using, with an algorithm. Movements of a bus, tram or a car in dense city traffic can be very similar. Similar, previously validated trips by users inform the analysis. Trip segments are compared using Oracle spatial analytics functions, which handle high volume spatial processing. We will share the challenges and solutions.


Anke Sauerländer-Biebl

Researcher, German Aerospace Center (DLR)
I studied mathematics at the University of Hamburg and then worked as software engineer for different companies. Since 2012 I have been working at the German Aerospace Center, Institute of Transportation Systems, as a researcher with a focus on data analysis and data processing in... Read More →

Wednesday March 13, 2019 11:35am - 12:00pm PDT
2-Rm 103