Check Out Our Framework for Mobility Decision Making by The Austrian Institute of Technology (AIT)

The framework helps mobility experts and decision makers plan new interventions, conduct survey-based analysis, run detailed simulations and assess implemented measures for impact. Both conventional passenger transport systems and new mobility services (e.g. car sharing, Mobility-as-a-Service, autonomous vehicles) can be simulated and evaluated using AIT’s framework. Also possible is the integration of different demand modules and traffic assignment systems, including those that rely on algorithms to obtain information on trips, mobility rate, destination, and travel mode. 

Plausibility checks and calibration can be performed using observational and modelled data. The results can be used to minimise deviations in trip-length distributions and modal-split parameters differentiated by demand strata and trip purpose. Depending on data quality and availability, calculations can be performed using more disaggregated, behaviour-oriented demand models, with an option to incorporate tour- and activity-based approaches. All these methods and tools can be embedded in a comprehensive scenario management environment to help users develop and compare different transportation infrastructure setups and policies.

The Tool Chain of AIT mobility modelling framework

The modelling framework can serve as a basis for socio-economic and environmental impact assessment of the transportation system. It can be tailored to investigate travel behaviour, traffic loads and the impact of new mobility solutions at mesoscopic and microscopic levels. As such, the framework contributes to the development of demand generation models and the evaluation of KPIs at the address- or building-level.

In BIPED, the framework will be used to support some or all of the following:

• Origin-Destination matrices and traffic flow visualisations for travel demand distributions in several temporal resolutions

• Analysis of urban accessibility, infrastructure supply and demand, risks and vulnerabilities

• Incident-based traffic and demand shift

• Traffic loads per network-link at several aggregation levels (Level of Services)

• Visualisation of travel behaviour, changes, and bottlenecks

Combining macroscopic and agent-based modelling techniques for an impact assessment