Problem

Vehicles stand unused 95% of the time in public or private parking spaces. The consequences are a high demand for space and at the same time low utilisation. The question arises as to how the demand for mobility can be made more efficient. Demand-driven mobility services in particular are seen as a source of hope. At the same time, technical advances in the field of networking, electrification and automation increase the degree of freedom in the design of mobility services. The design process currently lacks a model that maps the complex interactions between customers, fleet and infrastructure at the operational level.

Goal

The objective is to develop a decision support tool for the design of demand-responsive mobility services. Transport with taxis is used as an application example. The focus is on the research question of how fleet operation with (automated) electric taxis can be designed to be economical and customer-friendly. The aim is to develop a method for deriving requirements for the vehicle concept and infrastructure.

Implementation

• Collection and analysis of taxi movement data
• Design and implementation of a model for mapping fleet behaviour
• Definition and implementation of simulation studies
• Plausibility check of the results
• Deriving requirements for the electrification of taxi fleets