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  1. 61

    5G-based smart airport network security scheme design and security analysis by Xinxin XING, Qingya ZUO, Jianwei LIU

    Published 2023-10-01
    “…To meet the security requirements of smart airports, a 5G-based smart airport network security solution was proposed.The security characteristics and security requirements of the 5G scenario in smart airport were analyzed, and the pain points of security requirements in the current scenario were summarized in five aspects:unified security management and control, network slicing security, security monitoring and early warning, edge computing security, and IoT-aware node security.And then a 5G network security system was designed for smart airports.The functional components of this system included 5G network unified security management and control functions for ubiquitous networks, lightweight 5G network identity authentication and authentication functions, 5G network slice security protection for multi-service requirements, 5G network security monitoring and early warning based on big data analysis, integrated security protection function based on edge computing, and sensory node security protection function based on device behavior analysis.This comprehensive approach built an all-in-one security platform covering business encryption, network security, terminal trustworthiness, identity trustworthiness, and security management and control.Additionally, the potential counterfeit base station attacks in the existing 5G authentication and key agreement (AKA) were analyzed.Due to the lack of authenticity verification of the messages forwarded by the SN, the attacker can pretend to be the real SN to communicate with the UE and the HN, thus carrying out the base station masquerading attack.This kind of attack may lead to the leakage of smart airport network data, and encounter problems such as tampering and deception by opponents.Aiming at the network security requirements of smart airports and the security issues of 5G authentication and key agreement protocol, an improved 5G authentication and key agreement protocol was designed.Formal security models, security goal definitions, and analysis were performed to ensure the robustness and effectiveness of the protocol against attacks.…”
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  2. 62

    A Field Study on the Indoor Thermal Environment of the Airport Terminal in Tibet Plateau in Winter by Jianglong Zhen, Jun Lu, Guangqin Huang, Liyue Zeng, Jianping Lin, Hongtao Xia

    Published 2017-01-01
    “…In order to study the characteristics of indoor thermal environment in the airport terminal in Tibet Plateau with radiant floor heating in winter, a field measurement of the indoor thermal environment was conducted in Lhasa Gonggar Airport terminal 2. …”
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  3. 63

    Trajectory Planning for Unmanned Vehicles on Airport Apron Under Aircraft–Vehicle–Airfield Collaboration by Dezhou Yuan, Yingxue Zhong, Xinping Zhu, Ying Chen, Yue Jin, Xinze Du, Ke Tang, Tianyu Huang

    Published 2024-12-01
    “…Then, we took Apron NO.2 in Ezhou Huahu Airport as an example for simulation verification. …”
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  4. 64

    Improving Airport Flight Prediction System Based on Optimized Regression Vector Machine Algorithm by Baraa Yousif Salman, Jaber Parchami

    Published 2024-09-01
    “… Nowadays, the safest and most extensive type of transportation is air flights, and tens of thousands of flights are carried out from different airports every day around the world. However, many of these flights have short-term or long-term delays, which cause the passengers' plans to change, and as a result, the airlines suffer losses. the first step to deal with these air delays is to predict them air delay. …”
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  5. 65

    Airport Arrival Flow Prediction considering Meteorological Factors Based on Deep-Learning Methods by Zhao Yang, Yifan Wang, Jie Li, Liming Liu, Jiyang Ma, Yi Zhong

    Published 2020-01-01
    “…This study presents a combined Long Short-Term Memory and Extreme Gradient Boosting (LSTM-XGBoost) method for flight arrival flow prediction at the airport. Correlation analysis is conducted between the historic arrival flow and input features. …”
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  6. 66

    Optimization of the Operation Plan of Airport Express Train with Consideration of Train Departure Time Window by Jin He, Yinzhen Li, Yuhong Chao, Ruhu Gao

    Published 2024-01-01
    “…This paper proposes an optimization model for the train operation scheme of the Airport Express Line (AEL) based on the expected arrival time of passengers by the introduction of the train departure time to cope with the time-dependent passenger flow and provide better prompt train service according to passengers’ demand. …”
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  7. 67

    Safety Management in Sea Reclamation Construction: A Case Study of Sanya Airport, China by Jinchao Ma, Wei Zhong, Xiaoliu Zhu

    Published 2020-01-01
    “…This paper proposes a systemic approach to the complete safety management process in sea reclamation engineering, including safety system design, analysis, control, and assessment, using the Sanya Sea Reclamation Airport, Hainan Province, China, as a case study. …”
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  8. 68

    A Green Demand-Responsive Airport Shuttle Service Problem with Time-Varying Speeds by Ming Wei, Binbin Jing, Jian Yin, Yang Zang

    Published 2020-01-01
    “…This study proposes a multiobjective mixed integer linear programming (MOMILP) model for a demand-responsive airport shuttle service. The approach aims to assign a set of alternative fuel vehicles (AFVs) located at different depots to visit each demand point within the specified time and transport all of them to the airport. …”
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    Network Resilience and Rehabilitation Strategies for an Airport Movement Area Considering Traffic Flow and Road Class by Ruiling Mou, Rui Kang

    Published 2024-01-01
    “…To validate our approach, we conducted an empirical study at an airport in southwest China, simulating the resilience of the airport movement area transportation network under varying road class coefficients, traffic flow weights, and road class weights. …”
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  13. 73

    Enhanced airport security screening under fermatean probabilistic hesitant fuzzy hybrid aggregation information by Wania Iqba, Shahziab Ashraf, Maria Akram, Muhammad Shazib Hameed

    Published 2024-06-01
    “…Optimizing airport security screening processes is imperative in the modern age, ensuring a delicate balance between stringent security measures and efficient, seamless travel experiences for passengers. …”
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    Composition and Performance Evaluation of SBS/SBR Modified Emulsified Asphalt for Tack Coat on Airport Pavement by Kaiwei Wang, Xiangbing Xie, Guanghui Li, Jinggan Shao, Meng Bao, Mingwei Wang, Xianglei Zhu, Yahui He

    Published 2022-01-01
    “…For the preparation of interlayer high-performance emulsified asphalt suitable for airport pavement, the type and dosage of modifier and emulsifier were taken as factors and levels for the orthogonal test. …”
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  16. 76

    Impact Analysis of Parking Price Adjustment on the Quality of Service of Airport Parking Lots for Light Vehicles by Cheng Cheng, Peng Qi

    Published 2019-01-01
    “…As a consequence, throughput and income largely increased in the airport, and there were extra time costs during vehicle departures. …”
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  17. 77

    Research and design of the intelligent energy management and control platform in the airport area based on the IoT technology by Yuan HUANG, Gang WU, Junyong LIU, Chenxi YANG, Mengpin GAO

    Published 2021-06-01
    “…The construction of the green airport urgently needs an efficient energy security information system in face of the electric energy substitution and clean energy access.A design idea of the intelligent energy management and control platform in the airport area based on the Internet of things (IoT) technology was proposed.The platform included a perception layer, a network layer, a data layer and an application layer.The IoT technology and the fusion technology of the information and energy were adopted to realize the application scenarios for multiple users.Finally, an energy control platform framework was designed by combing the energy information of a civil hub airport to provide basic services for further exploration of the value of the energy.…”
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    A New Air Quality Prediction Framework for Airports Developed with a Hybrid Supervised Learning Method by Yong Tian, Weifang Huang, Bojia Ye, Minhao Yang

    Published 2019-01-01
    “…In order to reduce the air pollution impacts by aircraft operations around airports, a fast and accurate prediction of air quality related to aircraft operations is an essential prerequisite. …”
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