The Taxibot® is a hybrid electric vehicle that can tow medium to large aircraft in the movement area of an airport. Its use can lead to lower noise levels near terminal buildings and reduce fuel consumption and emissions; Aircraft emissions and cost of the aircraft ground operations are reduced significantly. The Taxibot®, which is the name that receives the vehicle developed by IAI (Israel Aerospace Industries), has been deployed in very few airports around the world, but the number is envisioned to increase in the following years. If the system goes fully autonomous, pilots will have to learn and accustom themselves to the differences when performing the procedure with the vehicle and airports need to make studies on the effect it could have on capacity and safety. The aim of this paper is to describe the development of a simulator of the operations of a remotecontrolled tow tractor for first person training. The objective of the simulator is evaluating and improving human factors in terms of required skills and ergonomics. The study takes into account a review of the current state of the art on available tools and their shortcomings to establish requirements of the proposed solution. The steps taken to create the virtual environment, physics simulation and other systems of the implementation are disclosed. Validation of the simulated experience was conducted with users of different expertise levels. Although the validation methodology was limited in scope, most users reportedly became more aware of the processes involved in the operation of a tow car. Additionally, the experience can be updated to test new vehicles and conditions.