Arrival Management System Research Articles

Research and Practice of IoT Technology based on Smart Campus

This paper designs and implements an Internet of Things (IoT) student arrival management system based on smart campus, and uses big data technology to solve the problems of information lag and inaccuracy in traditional management mode. The system uses IoT technologies such as RFID and NFC to realize real-time monitoring and recording of students' arrival at school. By deploying sensor equipment and developing user interface, the system collects, processes and analyzes students' arrival information in real time, and provides convenient services for teachers, students and parents. This paper introduces the design and implementation process of the system in detail, including key technical points, system architecture, functional modules, implementation and testing. The practical application shows that the system significantly improves the efficiency of campus management and promotes the communication and cooperation between home and school. The challenges encountered in the implementation of the system are analyzed, and the corresponding countermeasures are put forward. This study highlights the unique advantages and broad application prospects of student arrival IoT management system integrating big data under the background of smart campus.

Identifying Operational Benefits of the Arrival Management System – A KPI-Based Experimental Method by Evaluating Radar Trajectories

The arrival management (AMAN) system is a decision support tool for air traffic controllers to establish and maintain the landing sequence for arrival aircraft. The original intention of designing the AMAN system is to improve the efficiency of air traffic management (ATM), but few studies are investigating the operational benefits of this system based on key performance indicators (KPIs) and evaluating actual data in a real-time environment. The main purpose of this paper is to propose a KPI based transferable comparative analysis method for identifying the operational benefits of the AMAN through radar trajectories. Firstly, six KPIs are established from a joint study of the mainstream ATM performance frameworks worldwide. Secondly, appropriate evaluation technique approaches are determined according to the characteristics of each KPI. Finally, a Chinese metropolitan airport is taken for the case study, and three periods are defined to form data samples with high similarity for comparative experiments. The results validate the feasibility of the proposed method and find comprehensive performance improvements in arrival operations under the effects of the AMAN system.

Benefits Derived from Arrival Management and Wake Turbulence Re-Categorization in China

Air traffic administration requires evidence when promoting new technology or a new concept of operation. Therefore, when decision support tools are applied, it is necessary to analyze the costs and benefits quantitatively. This paper focuses on the evaluation of Key Performance Indicators (KPIs) correlated with the improvement of arrival operations after the implementation of the Arrival Management (AMAN) system and Wake Turbulence Re-categorization in China (RECAT-CN). Firstly, we give an overview of the implementation of the AMAN system and RECAT in China. Secondly, the KPIs related to the arrival operation are established according to the characteristics of AMAN and RECAT-CN, based on the existing KPI systems in the field of Air Traffic Management (ATM). The proposed KPIs are: airport acceptance rate; final approach interval; flight time within the terminal area (TMA); and taxi-in time. Thirdly, arrival operation within the TMA around Guangzhou International Airport is used as an example to carry out the quantitative analysis. The region and time range were defined for the performance comparison, and external factors were also examined. Finally, using descriptive and inferential statistics, the proposed KPIs’ comparison results are presented and visualized. Such results indicate a significant improvement in arrival operation with the AMAN system and RECAT-CN at Guangzhou International Airport.

Potential Benefits to Be Derived from Arrival Management System

Potential Benefits to Be Derived from Arrival Management System

Experimental approach to NextGen benefits estimation: A case of single-airline Aircraft Arrival Management System

The Next Generation Air Transportation System (NextGen) embraces multiple operational and technological improvements that enable efficiencies for users and service providers. In managing the development of NextGen, the Federal Aviation Administration (FAA) is assessing initiatives and potential components of the future system. One component is software that jointly optimizes the timing of arriving traffic to streamline flight arrivals at congested airports (Aircraft Arrival Management Systems or AAMS). Since most of the proposed NextGen improvements are not yet implemented, their evaluations typically are conducted through modeling, simulation, and/or subject matter expert surveys. In contrast, this study utilizes experimental settings in a real-time operating environment to examine potential benefits of the AAMS. During the experiment, a number of system performance variables were recorded in two data collection periods: a passive period, when the system was operating without the AAMS, and an active period, when the AAMS optimized arriving traffic of a dominant airline. Due to confounding data issues, the results indicate that with only 6.5 percent of arriving traffic optimized, there are no observable improvements in the overall system performance. However, the study documents tangible benefits for optimized flights and a positive interaction effect between the FAA's Traffic Management Advisor and the AAMS.

Assessing NextGen Operational Improvements: A Case of Airspace Complexity and Aircraft Arrival Management System

The Next Generation Air Transportation System (NextGen) supports multiple operational and technological improvements that enable efficiencies for users and service providers. One of the potential components of the NextGen - the Aircraft Arrival Management System (AAMS) is a tool that jointly optimizes timing of arriving traffic to streamline flight arrivals at congested airports. This study utilizes experimental settings to examine the AAMS effect on the terminal area airspace complexity. During the experiment, the air traffic trajectory data before and after the AAMS implementation were collected at two terminal areas: Charlotte Douglas International Airport (CLT) and Minneapolis-St. Paul International Airport (MSP). Then, the trajectory data were used to estimate the Reciprocal Square Metrics (RSM) airspace complexity measures that were compared between the baseline and active AAMS periods. The results of the study suggest that potential implementation of AAMS concepts could reduce terminal area complexity at congested airports.