This project takes place in the wider context of a first-of-its-kind large-scale open science traffic monitoring experiment nicknamed pNEUMA, that took place in the city of Athens : "pNEUMA is a large-scale dataset of naturalistic trajectories of half a million vehicles that have been collected by a one-of-a-kind experiment by a swarm of drones in the congested downtown area of Athens, Greece. A unique observatory of traffic congestion, a scale an-orderof- magnitude higher than what was not available until now, that researchers from different disciplines around the globe can use to develop and test their own models."1 In this paper, the focus is laid on the impact of taxi servic-related stops on congestion. The problem is tackled by using a step by step task-oriented approach, in order to develop methods that can be used for further research on the dataset.