Optimization of Airport Service cars Motion in Emergencies

Despite the traffic increases at the international airports، limited studies have been carried out to improve efficiency and accessibility of mechanics and servicemen to the plain and regarded facilities. GIS becomes a beneficiary tool for the airport managers to improve the process of managing of airports. This paper aims to apply GIS as an analyzing tool in the airport field. The main innovative contribution of this research is using offline spatiotemporal data analysis and introducing an efficient algorithm for service automobiles. The allocation optimization was carried out based on the reduction in departure time using deferment constraint. Allocation has been done by considering the aircraft push and tow required time and its distance for a service car. In this proposed solution service operation was optimized with considering two situations: returning the service car to its Equipment Parking Area or EPA when delivering service and the service car parks in Equipment Staging Area or ESA. The achieved numerical results in Mehrabad international airport indicate in both situations; departure delay is less than usual method. The outcomes of minimizing service cars are: traffic facilitation، increase management efficiency، decrease hazards due to the large number of service cars and increase safety in the airport field.