Simulations are the traditional approach used by the research community to evaluate mobile ad hoc networks. Mainly, vehicular ad hoc networks (VANETs) are a particular type of mobile ad hoc networks that raise specific technical challenges. When assessing VANETs, it is crucial to use realistic mobility models and traffic demand to produce meaningful results. In this context, vehicular traces affect vehicles’ signal strengths, radio interference, and channel occupancy. This paper provides a thorough analysis of the influence of using the different SUMO’s traffic demand generation tools on mobility and node connectivity. Using the data traffic in the district of Gracia in Barcelona (Spain), we analyze the generated traffic demand in terms of traffic measures: (i) traffic intensity, (ii) trip time/distance, (iii) emissions, and (iv) re-routing capabilities. This last feature allow cars to re-compute their routes in front of congestion situations. Then, we analyze the available tools in terms of resources usage (CPU, RAM, disk). Lastly, we analyze the node’s connectivity using well-known graph metrics. Our results provide insights into the behavior of the vehicle’s mobility and the nodes’ connectivity of SUMO demand generation tools. Additionally, we propose an automatized tool that facilitates researchers the generation of synthetic traffic based on real data.