Self-driving vehicles in urban environments

The purpose of this thesis is to propose an autonomous vehicle (AV) cluster map for future reference. The introduction of self-driving vehicles on roads not only influences the future of the automotive industry, but it also challenges urban environments in terms of mobility and road safety. In the wake of experiencing a false sense of security, safety of citizens on roads becomes an important issue for cities. Therefore, cities need to develop, test and deploy this ground-breaking technology in cooperation with the automobile industry and other stakeholders in the urban environments context. After literature review of AV concept and clustering method, the research proposes a reference cluster map for future development and implementation of a new AV ecosystem on an application on city of Prague. To propose this reference cluster, the best AV practices from worldwide city clusters were identified by selection of the most relevant cities through a multi-scorecard analysis.