triply develops software solutions for a better understanding of mobility systems and for planning optimized transport offers. In a next expansion step, the company seeks to complement the existing capabilities with a tool for planning demand-oriented mobility concepts. This should be based exclusively on data-driven, automated processes for planning and coordination. The primary application areas of this extension are rural, rather underserved areas. The research and development components of this project will be implemented together with partner from academia and industry: RSA iSpace research studio, Cloudflight Austria GmbH, Hutchinson Drei Austria GmbH and the Austrian Federal Railways (ÖBB).



Carployee is a leading provider for a B2B solution that facilitates the organization of carpooling employees. Commuters are being motivated to pool their cars via Carployee’s carpooling app, which includes the matching and an incentive system with gamification components. Currently, the matching considers only commutes by car and pick-up locations at home addresses. In order to increase the potential of carpooling and to make the app more attractive, the functionality and flexibility of the app is going to be extended within a research cooperation between Carployee, Z_GIS and Seibl IT. The major challenge of this project is the complexity of the optimization problem, which can be solved only heuristically.



In addition to infrastructure or regulatory measures, the ETSC (European Road Safety Council) also proposes cooperative intelligent traffic systems (C-ITS) to increase the safety of vulnerable road users (VRUs). Current studies assume that the introduction of connected and automated vehicles (CAVs) will also have a significant impact on VRUs, whereby the question of advantages or disadvantages remains open.



The design or redesign of public space is an essential prerequisite for further promoting sustainable, active mobility. However, a standardized methodology for the impact assessment of interventions in urban mobility is still lacking. POSITIM aims to create a generic mixed methods approach for impact assessment and evaluation. Methods from traffic sociology, human sensor technology, traffic planning and geoinformatics are integrated.



Unprotected road users are exposed to a disproportionate risk of accidents. In order to be able to make the best possible arrangements for these road users, reliable risk models with a high spatial and temporal resolution are required. The potential, but also the limitations, of integrating human sensor data with heterogeneous data sources from urban data ecosystems for traffic safety research and especially for forecasting models of traffic risks has not yet been scientifically assessed.


Bicycle Observatory

The project has set itself the goal of conceiving a multidimensional, spatially differentiated situation picture of bicycle traffic by combining technical sensor data and social science survey data and thus better understanding bicycle traffic as an overall system and its heterogeneity within the group of cyclists.