From the historical times, the means of mobility has evolved, the invention of the first wheel in 3500 BC marked the evolution of road transportation. As the technology advanced so did the options of transportation and the demand of the end user. Today the conventional modes of transportation are overexploited. The ratio of the number of vehicles on the roads and the capacity of the roads to carry vehicular traffic is unbalanced resulting into gridlocks i.e road congestion, bottlenecks and traffic hotspots and road collisions. This also impacts the environment and the people living in close proximity. This thesis project proposes an urban model solution to ease road traffic gridlocks and bottleneck junctions, by using an on-demand drone-etaxis with the aim of integrating the mobility network in a 3D urban grid. The study of gridlocks, traffic index, carbon emission wrt to the mode of transportation along a last few years in the continent of Europe will be useful to get a clear picture of the present situation and propose a solution for the problem. According to the statistics, the top five affected cities are London, Rome, Paris, Hamburg, Madrid. Urban resilience can be temporarily an answer but with the complete integration of the Drone- etaxis with the existing public transportation network at a city scale will result in more efficient road mobility network and thus providing the more free land area which can be repurposed, contributing to a self-sufficient and sustainable urban environment.