This paper aims to assess the limits of urban fabric for the autonomous vehicles and demands of AVs on the infrastructure. It includes the existing road situation and required transformation for successful adaptability of this smart mobility in future. It is predictable that the cities ought to be reshaped before this advanced autonomous technology takes over our roads and makes the current vehicular mobility less popular or perhaps obsolete. To host AV´s, the future city will have to be smart and data-driven. This paper also discusses different aspects of autonomous vehicle technology and their suitability. For the roads and networks to be suitable for self-driving vehicles, the infrastructure will surely be upgraded according to the level of automation that will rule the roads in a specific location. Three standard models are developed in attempt to create different scenarios for successful operation of driverless cars on roads of various functional natures. First of all, the paper introduces the concept of smart cities and its components. Then it unfolds the technological aspects of autonomous mobility and its related challenges. After a brief overview of the basic concepts, the paper primarily discusses the demands of autonomous vehicles on infrastructure in terms of standard road widths, lanes, geometry, complexity, parking needs and trafficability. The paper further proceeds with case studies from three different geographical locations. The model scenarios are implemented on these cities to evaluate possibility of their existing infrastructure to accommodate self-driving cars. These hybrid model scenarios are crucially important part of this research as they contribute to final conclusions and suggestions. However, they need further development and work in near future for further research in this field.

Since more and more customers switch to online purchases, the last-mile delivery problemhas created a huge burden on companies and cities. The increasing parcel delivery leads toextra operational costs in logistics and congestion in cities. IKEA, the furniture retailcompany, is going to propose a project – IKEA Urban Multi Hub to solve this problem byallowing customers to carry back orders themselves. This study collaborates with IKEA toinvestigate and formulate a robust hub that customers are willing to visit. The aim of thisresearch is to identify appropriate locations for the hub and possible future mobility that thehub should provide. Moreover, develop concepts and strategies for two cities - Shanghai cityand New York City.Research and customer interview were fundamental parts of this project. The research partincludes literature review and background that helps to preliminary clarify urban conditions,possible future mobility, and travel behavior. The customer interview part investigatescustomers’ preferences in two selected cities which helps to realize their needs and gaininspiration. The results showed that clustering with metro stations and providingautonomous mobility may create a smooth customer self-delivery experience for IKEA UrbanMulti Hub. Besides, cooperating with logistic companies can reduce the operation risk of theHub and strengthen the business model. Further concepts and strategies developed for twoselected cities are described in the thesis.