Despite the traffic increases at the World airports, little works have been done to improve vehicles and airplanes services, increase efficiency and decrease service automobile voluminous of large number. With GIS abilities, airport managers would like using its potential for development and management of airports. So new issue in GIS is formed with AGIS title to study GIS applications in airport as wide and corporation all world airports and GIS specialists. This paper presents an application of GIS analyses in airport field. The main innovation of this research is offline spatiotemporal data analysis and introducing an efficient algorithm for service automobiles allocation optimization with reduction in departure time deferment constraint. Allocation has been done by considering the aircraft push and tow required time and its distance to a service car. In this proposed solution servicing operation optimizes with considering two situations: one that service car returns to its Equipment Parking Area or EPA when delivering service and in another situation service car parks in Equipment Staging Area or ESA. Numerical results of using proposed method in Mehrabad international airport indicate in both situations, departure delay is lesser than usual method. Outcomes of minimizing service cars are: traffic reduction, increase management efficiency, decrease hazards due to large number of service cars and increase safety in airport field.

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.

To achieve a reasonable level of precision in TRACTOR-based field operations, a TRACTOR operator has to guide accurately, monitor and control both the TRACTOR and the attached implement. Since guidance is the most time consuming task among the others, researchers have attempted to automate the guidance task. However, the use of automatic guidance and control in agricultural applications is not always appropriate. Transportation of the vehicle on a public road is an example of this. Some researchers therefore have focused on Vision-Aided methods to give some guidance aid to the driver rather than on eliminating the driver. To investigate the accuracy of such methods, a Vision-Aided TRACTOR guidance belt-type simulator was developed. An experimental prototype of the simulator was constructed. To evaluate the prototype, a completely randomized factorial experiment was conducted with forward speed, heading angle, and camera tilt angle being the major factors under investigation. The simulator performed satisfactorily at 5 and 7km/h and mean deviations of 1.14 and 2.31cm were obtained respectively.

Operators of agricultural machinery are exposed to an extensive range of indirect vibrations through the seats, which gradually causes chronic damages. One of the ways to reduce the vibrations imposed on the operators is to use appropriate materials in TRACTOR seat cushion. The present study was carried out in order to select appropriate foam or sponge and investigate different factors in reducing vibrations imposed on operator’ s body so as to promote drivers health and enhance their working efficiency. Vibration experiments were performed at different accelerations on foam and sponge materials at different thicknesses and densities for different occupant masses, and the input and output acceleration signals were recorded and analyzed. Using the analysis of variance, analysis of the mean squares of the input and output acceleration, the type of material used in the seat cushion and the effect of different factors on them were investigated. The results showed that in reducing vibrations, sponge for mass of 90 kg and more and foam for mass of 75 kg and less were more efficient. The sponge was also suitable for acceleration of excitation above 6 ms-2and foam for acceleration of excitation above 3 ms-2 and below. Therefore, according to the working conditions of agricultural machines and anthropometric characteristics of Iranian drivers and the appropriate suitable thickness of the seat cushion (6-8 cm), it is recommended that their seat cushion be made of a combination of foam and sponge with high density and thickness of 8 cm.

Using instrumented TRACTORs to monitor and record spatial variations in performance parameters of TRACTOR and implements during field operations, could improve productivity and the TRACTOR efficiency. In the context of precision farming, this information can be used to map spatial variability of the parameters and to find the relations with changes in soil attributes (texture, moisture contents and degree of compactness) within a field. The objective of the research was to evaluate the TRACTOR-implement performance parameters by equipping a Massey-Ferguson (MF-285) TRACTOR with sensors to measure travel and engine speeds, wheel rpm and fuel consumption of the TRACTOR, as well the draft of mounted implements. A Global Positioning System (GPS) receiver was also installed on the TRACTOR. In order to display and collect data from the sensors, a data acquisition system was developed for the purpose. Appropriate methods were adopted to calibrate the sensors. A three-point hitch dynamometer which was developed previously at the Department of Farm Machinery, Isfahan University of Technology was calibrated in the field, employing RNAM method. Comparison of TRACTOR wheel speeds with the fifth wheel revealed that the driven rear wheels and the non-driven front wheels had slip and skid respectively. The results showed that the fifth wheel and the non-driven front wheels are appropriate devices for a close estimation of the TRACTOR travel speed. In a majority of the cases, the GPS accurately receiver indicated the TRACTOR travel speed, however, due to the existence of obstacles on either side of the testing routes and the type of receiver employed, there was some jumping observed the recorded speed values. Therefore, its application in continuous travel speed measurement is somehow doubtful. The engine speed was recorded with an accuracy of 1 rpm using a combination of a toothed wheel and a magnetic proximity pickup. The installed Hall-effect fuel meter indicated the fuel consumption in different engine speeds with an accuracy of 0.1 L min-1. Dynamic (field) calibration of the three-point hitch dynamometer indicated that the RNAM method, for measuring draft of mounted implements, could only provide an estimation of the implement draft. The developed data acquisition system could collect data from the sensors with adequate precision. In addition to displaying the real-time information on its virtual display unit, the data were recorded as a text-file for further analysis. The instrumented TRACTOR is ready for measuring and collecting spatial performance parameters of the TRACTOR-implement system for mapping spatial variabilities.

As a subset of mobile robots, the TRACTOR-trailer mobile robot has been widely used in various applications in the past decades, including military and civilian missions, due to its advantages, such as a more expansive working space, high maneuverability, and load-carrying capacity has been used. One of the main challenges in controlling the TRACTOR-trailer robot's speed is the TRACTOR drives' dynamics. In this article, to complete the modeling after investigating the kinematic and dynamic equations governing the TRACTOR-trailer robot, coupled dynamics have been presented by considering the dynamics of the TRACTOR wheels. In the following, using the coupled dynamics, a suitable controller has been designed to control the robot's speed to achieve the desired value and the position point by point. Various simulations are presented to demonstrate the dynamic performance and the proposed controller. According to the simulation results, the presented theory improves the performance of the designed control system.