Accurate estimation of ambulance travel time is crucial for optimizing efficiency and equity in ambulance services. Strategic placement of ambulances and stations requires precise travel time estimation to ensure maximum coverage and equal access to healthcare. This study explores the use of spatio-temporal and meteorological data, specifically the SOSAlarm dataset, to estimate ambulance travel times in the Southern Healthcare Region (SHR) of Sweden. By improving the accuracy of travel time estimation, the effectiveness of ambulance placements and dispatch decisions can be enhanced, leading to better patient care outcomes. The limitations and potential of incorporating external factors, such as weather and traffic conditions, into travel time estimation are also investigated