Automated vehicle technology has reached a point where fleet services can be expected to be opened to the public in just a few years. Companies like nuTonomy and Navya are already running trials in cities around the world including Switzerland and show that their vehicles can cope with the complex situations that arise in everyday traffic.

Mobility simulations are crucial for research, industry, and governance. However, sim- ulating mobility systems with reasonable accuracy requires large-scale efforts of data collection, data transformation, data analysis, and data visualization. The paradigm of the digital twin offers a novel perspective on how to manage the data efficiently and make the simulations available more steadily at a lower cost. We introduce the first prototype ...

A simulation framework is presented that equilibrates a given automated taxi fleet with (a) consistent prices to provide the service and (b) customer behaviour that reacts to costs and level of service alike. In a first attempt, a hypothetical AMoD service within the highway ring of Paris is considered. The “dynamic demand” case yields a demand of around 1.2M trips per day for such a service at the optimal fleet size of 25k vehicles. This ...

Agent based simulation frameworks require synthetic populations to simulate traveller’s activity travel patterns. Various methods exist for population synthesis with different advantages and disadvantages. For the Greater Jakarta area, a synthetic population has previously been generated using Bayesian Network (BN) approach and Generalized Raking (GR) multilevel IPF. This approach used very large, city level marginal to fit the population ...