Salzburg Research
 

www.salzburgresearch.at/en/

About Salzburg Research

As an independent and application-oriented research institute, Salzburg Research offers Know-How and sustainable solutions for complex challenges in the Internet of Things. With Motion Data Intelligence Salzburg Research makes the movement of things measurable, links them reliably, develops algorithms for meaningful analyses and thus increases added value and efficiency.

 

Mobility and transport analytics is one of the core competences of the equally named department that is part of the SHOW project. Understanding which movements take place where and how is a key prerequisite for optimizing personal and goods mobility. Through intelligent analysis processes, multi-sensor fusion, map matching or routing for high-precision maps as well as real-time processing, analysis and interpretation of high-resolution driving trajectories, Salzburg Research opens up the potential of movement data – for optimized fleet control, traffic control or evaluation of infrastructure measures.

The department “Mobility and Transport Analytics” uses a range of technologies and methods such as:

  • Technologies for high-resolution movement data acquisition
  • Complex procedures for offline and real-time motion data analysis based on scalable data platforms
  • Interactive, web-based visualization of movement patterns (dashboards)

Moreover, the department of “Mobility & Transport Analytics” offers know-how and experience in the implementation and evaluation of demonstration or pilot systems ranging from design, monitoring, data collection, evaluation and delivering proof of a defined functionality according to specifications or standards.

Within the SHOW project,  Salzburg Research is part of the Austrian Mega Site and is responsible for the design and implementation of the pilot project in Salzburg. The pilot demonstration in Salzburg pursues the goal of testing an automated on-demand transport (automated DRT) to connect rural regions to intermodal mobility nodes in order to better bridge the first and last mile in public transport. The challenges in testing an automated DRT include topics such as MaaS integration, seamless integration with automated and non-automated public transport, and C-ITS support for higher levels of automation.