Journal articles: 'Automated baggage handling'

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Fay, Barry, K. Aswin Ramasubramarian, Murphy Ronan Dillon, Tadhg Adderley, and Nikolaos Papakostas. "Using a process simulation platform for reviewing automated airport baggage handling system configurations." Procedia CIRP 112 (July 14, 2021): 180–85. https://doi.org/10.5281/zenodo.7233335.

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The use of digital manufacturing platforms is becoming increasingly important since they facilitate process visualisation, optimisation, and validation, allowing engineers to make informed decisions at early product and process development phases. In this paper, the potential of using process simulation platforms is explored in order to visualise and validate baggage handling processes involving robotic handling systems and human operators. Multiple baggage handling layout configurations are digitally constructed and reviewed with the aim to investigate cost, time, and flexibility performance indicators. Furthermore, the advantages of using digital manufacturing and process simulation platforms are discussed.

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Tarău, A. N., B. De Schutter, and J. Hellendoorn. "Route Choice Control of Automated Baggage Handling Systems." Transportation Research Record: Journal of the Transportation Research Board 2106, no. 1 (2009): 76–82. http://dx.doi.org/10.3141/2106-09.

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Umar, Sudirman Hi, and Raden Fatchul Hilal. "PERANCANGAN BAGGAGE HANDLING SYSTEM (BHS) DI YOGYAKARTA INTERNATIONAL AIRPORT." Jurnal Teknik Sipil 16, no. 1 (2021): 65–72. http://dx.doi.org/10.24002/jts.v16i1.4220.

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Untuk menunjang keamanan serta keselamatan penerbangan suatu bandara, penerapan bagasi otomatis atau automated Baggage Handling System sangat perlu digunakan untuk dapat meminimalisasi berbagai pencurian bagasi. Pengoperasian Bandar udara Yogyakarta International Airport diharakan mampu menampung pergerakan penumpang, cargo, dan pesawat dalam jumlah yang besar, untuk penanganan bagasi penumpang yang selama ini dipandang masih menjadi masalah utama dalam proses loading maupun unloading, teknologi automated Baggage Handling System di siapkan sehingga pihak Bandar udara tidak perlu lagi melibatkan tangan porter untuk menangani masalah bagasi yang di bawah oleh penumpang. Berdasarakan Keputusan Menteri Perhubungan nomor KP 1164 tahun 2013 Yogyakarta International Airport di siapkan untuk melayani pergerakan cargo sebesar 55.380 ton/tahun. Tujuan dalam penelitian ini adalah untuk merencanakan desain Baggage handling system di Yogyakarta International Airport sebagai salah satu Bandar udara yang direncanakan menggunakan konsep aerotropolis airport. Metode dalam penelitian ini dilakukan dengan menggunakan bantuan aplikasi autocad untuk membuat kerangka dan desain dua dimensi kemudian dilanjutkan dengan software solidworks3D untuk membuat desain tiga dimensi baggage handling system Yogyakarta International Airport . Berdasarkan hasil penelitian Cara kerja baggage handling system yang di desain memiliki 7 tahapan dimulai dari pemanfaatan untuk pemeriksaan check in, pemeriksaan Out of Gauge (OOG) atau bagasi yang memiliki berat dan dimensi yang melibihi ukuran maksimum bagasi, Pemeriksaan X-Ray MVXR 5000 (Screening Level 1/2), Manual Coding Station (MCS), Pemeriksaan X-Ray RTT 110 (Screening Level 3/4), Pemeriksaan oleh Ahli Avsec dan Rekonsiliasi (Level 5/6), SCADA (Supervisor Control Data Acquisition).

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Tarău, A. N., B. De Schutter, and J. Hellendoorn. "Decentralized route choice control of automated baggage handling systems." IFAC Proceedings Volumes 42, no. 15 (2009): 70–75. http://dx.doi.org/10.3182/20090902-3-us-2007.0036.

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Papoutsidakis, Michail, Aikaterini Sfyroera, and Abhishek Srivastava. "CASE STUDY OF AUTOMATED BAGGAGE HANDLING IN MODERN TRANSPORTATIONS." International Journal of Engineering Applied Sciences and Technology 04, no. 05 (2019): 508–11. http://dx.doi.org/10.33564/ijeast.2019.v04i05.074.

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Shen, Kefei, Chen Li, Difei Xu, Weihong Wu, and He Wan. "Sensor-network-based navigation of delivery robot for baggage handling in international airport." International Journal of Advanced Robotic Systems 17, no. 4 (2020): 172988142094473. http://dx.doi.org/10.1177/1729881420944734.

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Automated guided vehicles (AGVs) have been regarded as a promising means for the future delivery industry by many logistic companies. Several AGV-based delivery systems have been proposed, but they generally have drawbacks in delivering and locating baggage by magnet line, such as the high maintenance cost, and it is hard to change the trajectory of AGV. This article considers using multi-AGVs as delivery robots to coordinate and sort baggage in the large international airport. This system has the merit of enlarging the accuracy of baggage sorting and delivering. Due to the inaccurate transportation efficiency, a time-dependent stochastic baggage delivery system is proposed and a stochastic model is constructed to characterize the running priority and optimal path planning for multi-AGVs according to the flight information. In the proposed system, ultra-wideband technology is applied to realize precisely positioning and navigation for multi-AGVs in the baggage distribution center. Furthermore, the optimal path planning algorithm based on time-window rules and rapidly exploring random tree algorithm is considered to avoid collision and maneuverability constraints and to determine whether the running path for each AGV is feasible and optimal. Computer simulations are conducted to demonstrate the performance of the proposed method.

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Kleshko, I. I., V. S. Tynchenko, S. V. Kukartseva, T. V. Solovyova, and A. V. Nizameeva. "Automated baggage screening and logistics system for enhanced airport efficiency." E3S Web of Conferences 592 (2024): 07003. http://dx.doi.org/10.1051/e3sconf/202459207003.

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Air transport plays a vital role in modern life, facilitating efficient logistics and connectivity across distant cities and countries. However, airports face numerous challenges in ensuring safety, speed, comfort, and security for passengers and their belongings. This paper addresses the pressing need for innovation in airport operations, focusing on automating baggage screening and logistics processes to streamline operations and enhance overall airport efficiency. By deploying a sophisticated automated system, airports can delegate logistics tasks to automation, accelerate processes, minimize paperwork, improve incident management, optimize luggage loading strategies, and enhance lost luggage retrieval. Such innovations promise to expedite baggage handling without compromising safety, thereby elevating the quality of service and passenger satisfaction.

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Tarau, Alina N., Bart De Schutter, and Hans Hellendoorn. "Model-Based Control for Route Choice in Automated Baggage Handling Systems." IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 40, no. 3 (2010): 341–51. http://dx.doi.org/10.1109/tsmcc.2009.2036735.

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Kolokytha, S., R. Speller, and S. Robson. "Three-dimensional imaging of hold baggage for airport security." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-5 (June 6, 2014): 331–36. http://dx.doi.org/10.5194/isprsarchives-xl-5-331-2014.

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This study describes a cost-effective check-in baggage screening system, based on "on-belt tomosynthesis" (ObT) and close-range photogrammetry, that is designed to address the limitations of the most common system used, conventional projection radiography. The latter's limitations can lead to loss of information and an increase in baggage handling time, as baggage is manually searched or screened with more advanced systems. This project proposes a system that overcomes such limitations creating a cost-effective automated pseudo-3D imaging system, by combining x-ray and optical imaging to form digital tomograms. Tomographic reconstruction requires a knowledge of the change in geometry between multiple x-ray views of a common object. This is uniquely achieved using a close range photogrammetric system based on a small network of web-cameras. This paper presents the recent developments of the ObT system and describes recent findings of the photogrammetric system implementation. Based on these positive results, future work on the advancement of the ObT system as a cost-effective pseudo-3D imaging of hold baggage for airport security is proposed.

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Fay, Barry, Aswin K. Ramasubramanian, Rónán Dillon Murphy, Tadhg Adderley, and Nikolaos Papakostas. "Using a process simulation platform for reviewing automated airport baggage handling system configurations." Procedia CIRP 112 (2022): 180–85. http://dx.doi.org/10.1016/j.procir.2022.09.069.

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Tarău, A. N., B. De Schutter, and J. Hellendoorn. "Predictive route control for automated baggage handling systems using mixed-integer linear programming." Transportation Research Part C: Emerging Technologies 19, no. 3 (2011): 424–39. http://dx.doi.org/10.1016/j.trc.2010.06.004.

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Medynskyi, Denys V., and Dasha L. Maliarenko. "AUTOMATED METHODS OF CHECKING IN PASSENGERS AND BAGGAGE IN THE AIRPORT GROUND HANDLING SYSTEM." Collection of Scientific Publications NUS, no. 4 (2020): 68–78. http://dx.doi.org/10.15589/znp2020.4(482).8.

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MONTEALEGRE, RAMIRO, and MARK KEIL. "Denver International Airport's Automated Baggage Handling System:A Case Study of De-escalation of Commitment." Academy of Management Proceedings 1998, no. 1 (1998): D1—D9. http://dx.doi.org/10.5465/apbpp.1998.27660762.

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Manerikar, Ankit, Fangda Li, and Avinash C. Kak. "DEBISim: A simulation pipeline for dual energy CT-based baggage inspection systems1." Journal of X-Ray Science and Technology 29, no. 2 (2021): 259–85. http://dx.doi.org/10.3233/xst-200808.

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BACKGROUND: Materials characterization made possible by dual energy CT (DECT) scanners is expected to considerably improve automatic detection of hazardous objects in checked and carry-on luggage at our airports. Training a computer to identify the hazardous items from DECT scans however implies training on a baggage dataset that can represent all the possible ways a threat item can packed inside a bag. Practically, however, generating such data is made challenging by the logistics (and the permissions) related to the handling of the hazardous materials. OBJECTIVE: The objective of this study is to present a software simulation pipeline that eliminates the need for a human to handle dangerous materials and that allows for virtually unlimited variability in the placement of such materials in a bag alongside benign materials. METHODS: In this paper, we present our DEBISim software pipeline that carries out an end-to-end simulation of a DECT scanner for virtual bags. The key highlights of DEBISim are: (i) A 3D user-interactive graphics editor for constructing a virtual 3D bag with manual placement of different types of objects in it; (ii) An automated virtual bag generation algorithm for creating randomized baggage datasets; (iii) An ability to spawn deformable sheets and liquid-filled containers in a virtual bag to represent plasticized and liquid explosives; and (iv) A GPU-based X-ray forward modelling block for spiral cone-beam scanners used in checked baggage screening. RESULTS: We have tested our simulator using two standard CT phantoms: the American College of Radiology (ACR) phantom and the NIST security screening phantom as well as on a set of reference materials representing commonly encountered items in checked baggage. For these phantoms, we have assessed the quality of the simulator by comparing the simulated data reconstructions with real CT scans of the same phantoms. The comparison shows that the material-specific properties as well as the CT artifacts in the scans generated by DEBISim are close to those produced by an actual scanner. CONCLUSION: DEBISim is an end-to-end simulation framework for rapidly generating X-ray baggage data for dual energy cone-beam scanners.

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Kolla, Sireesha, and Srujan Ganta. "Image Processing Applications in Cloud Computing in Airline Industry." International Journal of Multidisciplinary Research and Growth Evaluation 6, no. 3 (2025): 1497–99. https://doi.org/10.54660/.ijmrge.2025.6.3.1497-1499.

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The integration of image processing technologies with cloud computing has significantly transformed operations across various industries, including aviation. In the airline industry, this convergence enables real-time analysis, enhanced scalability, and cost-efficient processing of visual data. Applications range from automated baggage handling and facial recognition for passenger identification, to aircraft maintenance through visual inspections using drones and AI-based diagnostics. Cloud-based platforms allow for centralized data storage and computing power, facilitating collaboration and streamlined workflows across geographically distributed teams. This paper explores the critical roles of image processing in airline operations and how cloud computing amplifies its impact, improving efficiency, safety, and customer experience. The study also discusses current trends, challenges, and future prospects in the adoption of these technologies within the aviation sector.

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Borysiuk, Anton, and Dmytro Bugayko. "Innovative Approaches to the Application of Robotics in Ensuring Sustainable Airport Development." Electronic Scientific Journal Intellectualization of Logistics and Supply Chain Management #1 2020, no. 29 (February 2025): 14–24. https://doi.org/10.46783/smart-scm/2025-29-2.

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Airports around the world are increasingly using the integration of artificial intelligence (AI) and robotics to streamline processes, enhance security, and improve customer service. The demand for automation, increased by the COVID-19 pandemic, has given rise to innovative solutions, from automated baggage handling to customer service robots that assist travelers in real time. Nearly half of the world’s airlines and 32% of airports have announced plans to increase the deployment of robotic systems, highlighting the growing momentum of modernization in the industry. The purpose of this article is to identify the main promising areas of robotics in the process of sustainable development of airports, to study the history and determine the near-term prospects for the use of robots at airports, and to identify the advantages, disadvantages, and risks of such use.

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Ashmita, Choudhary, Aggarwal Himank, and Verma Deval. "Automation of Airport Luggage Check in System." International Journal of Innovations in Management, Science and Engineering (IJIMSE) 3, no. 1 (2023): 1–5. https://doi.org/10.5281/zenodo.8050932.

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<em>The airplane is currently the fastest mode of transportation and the first choice for those who want to make a long journey. Even after take-off you can quickly reach your destination, but the pre-start process often takes a long time. As a rule, we have problems with baggage weight measurement at check-in at the airport as the airlines have set a fixed weight limit for our luggage. Regardless of the terminal's modernity and impressive architecture, a fast, efficient and fluid baggage handling system still plays an important role in providing exceptional service. If we have an automatic baggage check-in system, all you have to do is plunder your ticket and your baggage will be registered under your name and the extra charge for your baggage will be automatically posted, if any. In this article, we introduce a system model designed to automate the flight baggage registration system by attempting to create a user-friendly, cost-effective, and efficient self-checking system.</em>

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Nia Andriani. "Analisis Penanganan Operasional Baggage Handling System Dalam Meningkatkan Keamanan Bagasi Penumpang Di Bandar Udara Sultan Muhammad Kaharuddin Sumbawa Nusa Tenggara Barat." Maeswara : Jurnal Riset Ilmu Manajemen dan Kewirausahaan 1, no. 4 (2023): 73–80. http://dx.doi.org/10.61132/maeswara.v1i4.69.

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Baggage handling has a very important role in supporting the safety and comfort of passengers while traveling by airplane, then processing the baggage according to existing procedures until the baggage arrives at its destination using the same aircraft as the passenger. To find out the handling of BHS in improving passenger baggage security, as well as solutions in handling BHS operational operations so as to improve passenger baggage security, baggage handling at Operations (BHS) at Sultan Muhammad Kaharuddin Airport, Sumbawa. It is carried out through a system that has several gradual processes. The process begins when passengers check-in and hand over their baggage to the check-in officer, then the baggage is given a special coded label as baggage identity. Then the baggage will enter the system with the conveyor belt as the path, then the baggage will go through several stages or levels of security and several stages of automatic sorting. After all stages of the process, both at the security level check and at the baggage sorting stage, are deemed safe, the baggage will go to the make up area of each airline or to the destination on the baggage identity tag which the system has read during the sorting process. Each stage of operations (BHS) is able to guarantee the safety and movement of the baggage is always maintained and monitored through a system that is connected to one another. The existence of a connection from the system guarantees that the baggage is in a safe condition, both the contents and physical condition of the baggage and the baggage handling process becomes faster and more efficient in terms of time and effort.

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Amar Al Kahfi, Yusril, Yuyun Suprapto, and Slamet Hariyadi. "THE EFFECT OF BAGGAGE HANDLING SYSTEM LEVEL 3 ON OPERATION OFFICER PERFORMANCE." Proceeding of International Conference of Advance Transportation, Engineering, and Applied Social Science 2, no. 1 (2023): 995–1000. http://dx.doi.org/10.46491/icateas.v2i1.1772.

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Baggage handling has an important role in maintaining the comfort of passengers traveling by aircraft and security in processing baggage. Baggage Handling System (BHS) is a service in the form of a conveyor to transport passenger baggage after check-in and automatic sorting with Radio Frequency Identification (RFID) technology that reads radio frequencies contained in baggage to be sent to the aircraft according to its destination. This study aims to determine the effect of Baggage Handling System level 3 on the performance of operational officers at Kualanamu International Airport Medan with quantitative research methods that take data using questionnaire data and literature studies. The determination of the sample with the Slovin formula was 30 people and then the results of the respondents' answers were processed using SPSS with validity tests, reliability tests, normality tests, homogeneity tests and T tests. The calculation results obtained the results of the T test, which is a significant value of 0.000, meaning that the significance value is smaller than (0.05), so it can be concluded that there is a significant influence of the implementation of the Baggage Handling System level 3 (independent variable x) on the performance of operational officers (dependent variable y).

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Samudera Novarizki, Muhammad, OKa Fatra, Nurdin Wahid Alfaritzy, Aldo Restu, Mohammad Ardiansyah, and Taufiqurrahman Arifin. "Rancang Bangun Indikator Emergency Stop Pada Conveyor Kedatangan Internasional Di Bandar Udara Internasional Jenderal Ahmad.pdf." Jurnal Teknik Mekanikal Bandar Udara 2, no. 1 (2024): 1–7. https://doi.org/10.54147/jtmb.v2i1.1123.

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Bandar Udara Internasional Jenderal Ahmad Yani Semarang memiliki Baggage Handling System adalah conveyor yang memiliki system secara automatis untuk mengangkut bagasi dari counter check in menuju pesawat maupun dari pesawat ke penumpang. Namun kurangnya respond time pada saat emergency stop yang tertekan yang dapat mengakibatkan terjadinya penumpukan bagasi dan overload pada motor, tanpa adanya indikator emergency stop dan jumlah push button emergency stop lebih dari satu, membuat teknisi kesulitan dan membutuhkan banyak waktu untuk mencari emergency stop yang tertekan. Agar efektif diperlukan rancang bangun indicator lampu emergency stop. Dengan menambahkan wiring yang dihubungkan pada tiap emergency stop untuk memberikan input pada lampu emergency stop agar tidak secara manual mencari tombol yang emergency stop yang tertekan

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Koottappilakkal, Ahamed Ashik, and David Lyon. "A differentiated model for inbound baggage handling systems at airports." Journal of Airport Management, December 1, 2018. http://dx.doi.org/10.69554/jfpc2180.

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To improve airline service quality, this paper proposes a model to minimise the mishandling and mismatching of inbound baggage by providing a differentiated service through an optimal classification towards passenger segments. The feasibility of the proposed model is then analysed through mixed methods. By implementing a reverse-engineered model of auto-baggage-drop, passengers will be able to individually claim their bags via an automated baggage reclaim device. Finally, the option to provide this differentiated service to premium passengers will add value to specific segments of passengers, and it will be advantageous to stakeholders: airlines, airports, passengers and third party suppliers, in the foreseeable future.

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Koenig, Frank, Pauline Anne Found, Maneesh Kumar, and Nicholas Rich. "Condition-based maintenance for major airport baggage systems." Journal of Manufacturing Technology Management ahead-of-print, ahead-of-print (2020). http://dx.doi.org/10.1108/jmtm-04-2019-0144.

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PurposeThe aim of this paper is to develop a contribution to knowledge that adds to the empirical evidence of predictive condition-based maintenance by demonstrating how the availability and reliability of current assets can be improved without costly capital investment, resulting in overall system performance improvementsDesign/methodology/approachThe empirical, experimental approach, technical action research (TAR), was designed to study a major Middle Eastern airport baggage handling operation. A predictive condition-based maintenance prototype station was installed to monitor the condition of a highly complex system of static and moving assets.FindingsThe research provides evidence that the performance frontier for airport baggage handling systems can be improved using automated dynamic monitoring of the vibration and digital image data on baggage trays as they pass a service station. The introduction of low-end innovation, which combines advanced technology and low-cost hardware, reduced asset failures in this complex, high-speed operating environment.Originality/valueThe originality derives from the application of existing hardware with the combination of edge and cloud computing software through architectural innovation, resulting in adaptations to an existing baggage handling system within the context of a time-critical logistics system.

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Noronen-Juhola, Heini. "Smart solutions at Helsinki Airport." Journal of Airport Management, January 1, 2012. http://dx.doi.org/10.69554/wgdp5713.

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The competitive advantage of Helsinki Airport is its location: the shortest route from Asia to North America and Europe is via Helsinki. Therefore it is under constant, innovative development, profiling itself as one of the leading transfer airports in the world. This means effective, reliable and high-quality service in all time frames for both passengers and airlines. The airport has worked for a long time to achieve a user-friendly layout of its terminal, including its interior design. As Finland has been a leading country of many technological innovations, the airport has tested and piloted new technological systems in order to improve the smoothness of travelling, as well as to ensure that flights can operate with minimum delay. The airport is implementing several solutions, especially critical for transferring passengers. Some examples are optimisation of the flow of transfer passengers, automated border crossing, winter maintenance of runways, smart apron solutions and effective baggage handling. However, strong leadership is still the key to successful innovations.

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Newbold, Alan. "Transforming a functional airport to a smart, digital one." Journal of Airport Management, March 1, 2020. http://dx.doi.org/10.69554/hfmc1079.

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Airports are continuing to experience rising passenger numbers and increasing capacity constraints, as pressures on physical resources intensify. To cope with this, airport executives need to take a more systematic, methodical approach to digital transformation. They need to build on isolated deployments of innovative technology to move towards a more holistic vision. This paper explores this challenge and opportunity via the concept of the ‘real-time’ airport — a data-driven ecosystem, using real-time data to make better, more informed decisions, optimising operations. The paper aims to educate the reader on the four key components of the real-time airport: integrated planning, automated operations, digital twins and predictive maintenance. It outlines the steps needed to deliver in these areas and how, when combined, they can deliver the ability to significantly improve passenger experience and airport operations by reducing queues, pre-empting and minimising delays and improving the baggage-handling process. The real-time airport road map comprises six key elements, from single-point solutions and integrated systems through to solutions specific to airport domains, before moving on to airport-wide integration and even linking to the city through smart transport systems. Finally, the paper considers the need for collaboration within the industry to deliver on the promise of the real-time airport, to help ensure that airports are fit for future purposes in meeting the complex and continually evolving needs of air travellers.

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Bradley, Alexandre, Romano Pagliari, and Richard Moxon. "Determination of baggage build opportunity and unit loading device storage requirements within domestic and international airport baggage hall operations." Journal of Airport Management, October 1, 2012. http://dx.doi.org/10.69554/kvlz8678.

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To enable airports and airlines to make best use of the new, fully and semi-automatic robotic baggage processing technologies, it is necessary to improve the utilisation of unit load devices (ULDs). ULDs are aluminium containers of various fixed sizes, as defined by the International Air Transport Association (2004), which can store passenger hold baggage within the baggage hall, the apron or on capable aircraft. This paper develops a model which determines the proportion of baggage that can be loaded into the ULDs of an outbound flight by reusing the same aircraft's ULD's from the inbound flight. The paper investigates the criticality of in-bound aircraft ‘brakes on time’ (the point in time when an arriving aircraft has taxied onto the aircraft stand, stopped and the brakes of the aircraft have been applied) relative to the departure time of the same aircraft on its next rotation, and the effect this has on both the quantity of available ULDs that can be built and the quantity that need to be stored on site. The model produces results for a range of aircraft types which will be useful to airlines and ground-handling operators seeking to make more efficient use of ULDs. More efficient use of these assets will benefit airports because of the potential to free up additional space in airside areas that already suffer from considerable degrees of congestion.

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Journal articles on the topic 'Automated baggage handling'

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