Accordingly, the objective of this study is to define a generally usable methodological framework, which is appropriate to predict the network level benefits related to autonomous systems and which is adequate to identify possible expenses associated with the introduction of such a mobility system. During the research the Unified Traffic Model of Budapest (EFM) has been applied. Using autonomous vehicle penetration as an external parameter, the investigation has considered a permanent increase in the number of autonomous cars. This study has also considered the most important parameters of transport systems involving connected and autonomous vehicles including following distance, reaction time, parking issues, access and egress cost, etc. There are many other macroscopic modelling aspects of emerging mobility which can be taken into account in the future phases of this research. According to the result of the investigation, it can be concluded that in case of a 100% penetration, up to 2 billion hours journey time saving can be achieved assuming a 15-year-long operation time and a city with about 1.7 million car trips per day.

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During the investigation traditional macroscopic transport modelling methodology has been applied, built up from a demand and a supply side. The demand side is represented by origin-destination matrices of the considered demand segments, whilst the supply side of the model is represented by a complex directed graph describing the road network of the modelled area. The comparison of the different alternatives is based on the main indicators of the traditional transport modelling approach (e.g. travel time savings, traffic volumes, speeds, etc.). Besides, a comprehensive vehicle technology framework has been set up to evaluate the impact of initiating an autonomous transport system. Thus, the output of the study is a general benchmarking of a traditional transport system and autonomous transportation in accordance with the framework of this study.