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Real-time disruption recovery method for apron vehicles based on stability 基于稳定性的停机坪车辆中断实时恢复方法
IF 3.6 2区 工程技术 Q2 TRANSPORTATION Pub Date : 2025-10-23 DOI: 10.1016/j.jairtraman.2025.102915
Danwen Bao , Zhuo Chen , Di Kang , Jiayi Zhou
This study investigates the problem of real-time recovery under disruptions such as apron vehicle failures and service delays. The first contribution is the introduction of the concept of spare vehicles, which enhances vehicle utilization and reduces depreciation costs. In addition, planning stability metrics based on service start-time deviation and vehicle routing deviation are designed to quantitatively evaluate the stability of recovery plans. The second contribution is the development of a Disruption Recovery–Dynamic Multi-Period Operational Vehicle Routing Problem with Time Windows (DR-DMPOVRPTW) model. This model considers the delay cost of flight service requests, the total service cost of apron vehicles, and the overall deviation cost. Building on this, a stability-oriented real-time disruption recovery method is proposed. The method introduces a decision mechanism to determine the necessity of recovery actions and designs three real-time recovery strategies from both local and global perspectives, thereby enabling the recovery of operational vehicle scheduling under various disruption scenarios. Large-scale case studies demonstrate the effectiveness of the proposed approach. Compared with local adjustment strategies, global adjustments achieve a superior balance between solution quality and stability, reducing request response time by over 16 %, decreasing the total travel distance of apron vehicles by approximately 14 %, and lowering service start-time deviations by about 62 %. Furthermore, the stability metrics significantly mitigate disruptions to the original schedule, while the use of spare vehicles reduces their average travel distance by more than 40 %. Overall, the findings provide practical insights and empirical references for setting disruption recovery thresholds and determining the appropriate scale of spare vehicles in airport operations.
本研究探讨在停机坪车辆故障和服务延误等情况下的实时恢复问题。第一个贡献是引入了备用车辆的概念,提高了车辆利用率,降低了折旧成本。设计了基于服务启动时间偏差和车辆路径偏差的计划稳定性指标,定量评价了恢复计划的稳定性。第二个贡献是开发了一个具有时间窗的中断恢复-动态多周期作战车辆路线问题(DR-DMPOVRPTW)模型。该模型考虑了航班服务请求的延误成本、停机坪车辆的总服务成本和总偏差成本。在此基础上,提出了一种面向稳定的实时中断恢复方法。该方法引入了一种决策机制来确定恢复行动的必要性,并从局部和全局角度设计了三种实时恢复策略,从而实现了在各种中断情况下运营车辆调度的恢复。大规模的案例研究证明了该方法的有效性。与局部调整策略相比,全局调整在解决方案质量和稳定性之间取得了更好的平衡,将请求响应时间缩短了16%以上,将停机坪车辆的总行驶距离缩短了约14%,将服务启动时间偏差降低了约62%。此外,稳定性指标显著减少了对原计划的干扰,而备用车辆的使用将其平均行驶距离缩短了40%以上。总体而言,研究结果为机场运营中设置中断恢复阈值和确定适当的备用车辆规模提供了实践见解和经验参考。
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引用次数: 0
Improved discrete Harris Hawks optimization with heuristic approximation and rolling horizon control strategy for aircraft landing problem 基于启发式逼近和滚动地平线控制策略的改进离散哈里斯鹰优化飞机着陆问题
IF 3.6 2区 工程技术 Q2 TRANSPORTATION Pub Date : 2025-10-11 DOI: 10.1016/j.jairtraman.2025.102914
Jinmin Gao , Meilong Le , Xiansheng Wu
With the increasing air traffic flow and more complicate configuration of air routes in the airport terminal area, studies on the traditional aircraft landing problem (ALP) that only considers runway or landing scheduling are no longer sufficient to meet practical needs. Further consideration such as route selection, en-route separation, conflict avoidance in merging waypoints is needed in consistent to the real air traffic management. Hence, this paper extends the study from the landing scheduling to the whole approaching and landing scheduling within the terminal area. More realistic constraints including route selection from all paths, attitude relevance speed range, en-route and wake separation, maximum position shift, arrival time windows, conflict avoidance in merging waypoints are considered in the optimization model. Then, the solving method is studied. After a comparative study of mainstream algorithms, the improved discrete Harris Hawks optimization (IDHHO) is presented. Many strategies for HHO such as new individual generation, preferred exchange, preferred insertion, random perturbation are added. The prey escape energy update equation is improved. To cope with large-scale situation, heuristic approximation (HA) and the multiple waypoint rolling horizon control strategy (MWRHC) are proposed to accelerate the solving speed of IDHHO. Based on the data of Guangzhou Baiyun International Airport, computations under low, medium and high traffic density are conducted. The experimental tests verify the validity of the model and algorithm. The computational results show MWRHC-IDHHO-HA can greatly reduce the solving time on the expense of small optimality loss. The presented model and algorithm have been used in the practical ALP management system called Arrival Management (AMAN).
随着机场终端区空中交通流量的增加和航线配置的复杂化,传统的仅考虑跑道或降落调度的飞机降落问题(ALP)的研究已经不能满足实际需要。需要进一步考虑航路选择、航路分离、合并航路点避免冲突等问题,以符合实际的空中交通管理。因此,本文将研究范围从着陆调度扩展到终端区内的整体进近和着陆调度。优化模型考虑了更现实的约束条件,包括所有路径的路线选择、姿态相关速度范围、航路和尾流分离、最大位置偏移、到达时间窗口、合并航路点时避免冲突等。然后,研究了求解方法。在比较研究主流算法的基础上,提出了改进的离散哈里斯鹰优化算法(IDHHO)。加入了新个体生成、优先交换、优先插入、随机扰动等策略。改进了猎物逃逸能量更新方程。为了应对大规模情况,提出了启发式近似法(HA)和多航路点滚动地平线控制策略(MWRHC)来加快IDHHO的求解速度。以广州白云国际机场数据为基础,进行了低、中、高交通密度下的交通流量计算。实验验证了模型和算法的有效性。计算结果表明,MWRHC-IDHHO-HA算法以较小的最优损失为代价,大大缩短了求解时间。该模型和算法已在实际的ALP管理系统——到达管理(AMAN)中得到了应用。
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引用次数: 0
Proposing improvement strategies for in-flight service in the post-COVID-19 pandemic era with passengers’ requirements 结合旅客需求,提出后新冠肺炎大流行时代的机上服务改进策略
IF 3.6 2区 工程技术 Q2 TRANSPORTATION Pub Date : 2025-10-10 DOI: 10.1016/j.jairtraman.2025.102913
Mu-Chen Chen , Chia-Lin Hsu , Yu-Han Su
The COVID-19 pandemic has had a huge impact on the aviation industry. In the early days of the pandemic, airlines faced unprecedented challenges due to immigration controls and health risks in various countries, and passengers' in-flight service patterns and flight needs have changed. To meet the needs of passengers, airlines need to be more agile in their responses, strengthening health and safety measures, providing flexible policies, driving digital transformation, improving cabin cleanliness, and improving the quality of food and beverage services to earn passengers' trust and satisfaction. On this basis, it is important to continue to pay attention to the changes in passenger demand and adjust service strategies promptly. This study aims to apply Kano model based on AIRQUAL to investigate passengers' satisfaction with in-flight service items by classifying service elements such as attractive quality, one-way quality, must-be quality, indifference quality, and reverse quality. In addition, the respondents were also classified into passenger groups (long-haul routes, long-haul economy class, and short-haul economy class) to find out the service priorities that different customer groups attach importance to, and gave improvement rankings for service items, and put forward effective improvement suggestions to improve the service quality of airlines and increase industrial competitiveness. The findings show that the good service attitude of flight attendants is the first improvement project of the airline. For passengers on long-haul routes, clearly communicating the loss and hazard compensation plan is an essential service for airlines. Use a HEPA system in air-conditioning, the provision of nursing kits for passengers, the change of in-flight to e-books to reduce paper contact, and the provision of masks and gloves for flight attendants are all attractive qualities, which can be inferred that passengers have paid more attention to health after the outbreak of the epidemic.
新冠肺炎疫情对航空业产生了巨大影响。疫情发生初期,各国出入境管制、健康风险等因素给航空公司带来前所未有的挑战,乘客的机上服务模式和飞行需求也发生了变化。为了满足乘客的需求,航空公司需要更加灵活地应对,加强健康和安全措施,提供灵活的政策,推动数字化转型,改善客舱清洁度,提高餐饮服务质量,以赢得乘客的信任和满意度。在此基础上,继续关注旅客需求的变化,及时调整服务策略是十分重要的。本研究旨在运用基于AIRQUAL的Kano模型,通过对吸引品质、单向品质、必须品质、冷漠品质、反向品质等服务要素进行分类,调查旅客对机上服务项目的满意度。此外,还将受访者按客群(长途航线、长途经济舱、短途经济舱)进行分类,找出不同客群对服务重点的重视程度,并对服务项目进行改进排名,提出有效的改进建议,以提高航空公司的服务质量,增强行业竞争力。研究结果表明,空姐良好的服务态度是航空公司的首要改进项目。对于长途航线的乘客来说,清楚地传达损失和危险赔偿计划是航空公司的一项基本服务。在空调中使用HEPA系统,为乘客提供护理包,在飞机上使用电子书以减少纸张接触,为空乘人员提供口罩和手套,这些都是吸引人的品质,可以推断出疫情爆发后乘客更加注重健康。
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引用次数: 0
Contribution of aircraft types to noise levels across the NOMOS network of Amsterdam Airport Schiphol 飞机类型对阿姆斯特丹史基浦机场NOMOS网络噪音水平的贡献
IF 3.6 2区 工程技术 Q2 TRANSPORTATION Pub Date : 2025-10-07 DOI: 10.1016/j.jairtraman.2025.102910
Dick G. Simons , Alireza Amiri-Simkooei , Joris A. Melkert , Mirjam Snellen
The increase in flight volumes in the aviation industry has significant socioeconomic implications that affect different aspects of our communities and economies. Although it has great economic benefits, it also causes annoyance and disturbance to communities living near airports. The latter requires understanding and prediction of the varying noise levels generated by various aircraft types. Noise assessment on a fleet level is traditionally achieved by using prediction models such as the DOC29. Such models need to be validated using real measurements. For Amsterdam Schiphol Airport, the so-called NOMOS (Noise Monitoring System) with 39 measurement stations is used for this purpose. We analyze the time series of these stations, collecting annual data for the period from 2006 to 2023. The main objective is to determine how the aircraft-generated noise at these stations can be assigned to 13 different aircraft types, taking into account the different noise levels produced by each aircraft type. This is performed by time series analysis of individual stations and the averaged time series over all stations. The results from two least-squares methods, namely unconstrained least squares (LS) and a proposed bounded least squares subject to weighted constraints (BLS + WC), are compared. The constraints are based on certification data as prior information in the least squares method, which is expected to enhance the model’s performance. Based on the above two least squares methods, predictions are performed for 2022 and 2023. The results clearly demonstrate the superiority of the BLS + WC over the LS method. We further extend our analysis to predict noise levels for a hypothetical future year with more newer aircraft models. The results indicate a substantial reduction in the noise level compared to 2023. These findings can thus underscore the effectiveness of the proposed method in outperforming the LS and highlight the model’s capability to forecast the impact of fleet modernization on noise reduction.
航空业航班量的增加具有重大的社会经济影响,影响着我们社区和经济的各个方面。虽然它有很大的经济效益,但也给机场附近的社区带来了烦恼和干扰。后者需要了解和预测不同类型飞机产生的不同噪音水平。传统上,船队水平的噪声评估是通过使用预测模型(如DOC29)来实现的。这些模型需要用实际测量来验证。对于阿姆斯特丹史基浦机场,所谓的NOMOS(噪音监测系统)有39个测量站被用于这一目的。我们分析了这些站点的时间序列,收集了2006年至2023年的年度数据。主要目标是考虑到每种飞机产生的不同噪音水平,确定如何将这些站点的飞机产生的噪音分配给13种不同的飞机类型。这是通过对单个台站的时间序列分析和所有台站的平均时间序列来实现的。比较了两种最小二乘法的结果,即无约束最小二乘法(LS)和受加权约束的有界最小二乘法(BLS + WC)。约束是基于最小二乘法中的认证数据作为先验信息,这有望提高模型的性能。基于上述两种最小二乘法,对2022年和2023年进行了预测。结果清楚地表明BLS + WC方法优于LS方法。我们进一步扩展了我们的分析,以预测假设未来一年有更多新型飞机的噪音水平。结果表明,与2023年相比,噪音水平大幅降低。因此,这些发现可以强调所提出的方法在优于LS方面的有效性,并强调该模型预测船队现代化对降噪影响的能力。
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引用次数: 0
Performance evaluation of operational modes in terminal airspace of UAV takeoff and landing areas 无人机起降区末端空域作战模式性能评价
IF 3.6 2区 工程技术 Q2 TRANSPORTATION Pub Date : 2025-10-04 DOI: 10.1016/j.jairtraman.2025.102894
Runming Wang , Bo Jiang , Rui Yang , Chenglong Li , Yuan Zheng , Xiang Kong
The terminal airspace of UAV takeoff and landing areas serves as the foundation for ensuring the safe and efficient operation of UAVs. Within this area, the air traffic environment is highly complex, making UAVs prone to collisions, delays, and other issues. However, research on terminal airspace and flight rules for UAV takeoff and landing areas remains scarce. This study designs a terminal airspace for small UAVs with a multi-layered annular frustum structure based on a hovering holding mode and proposes two operational modes for the terminal area: the Open Queue Approach (OQA) and the Directed Queue Approach (DQA). Mathematical models for performance evaluation metrics of these operational modes are developed. By establishing and solving a Mixed Integer Nonlinear Programming (MINP) model and developing a simulation environment for UAV terminal airspace operations using the SimPy library, the study proposes optimization-based and statistics-based methods for operational mode performance evaluation, quantitatively assessing the performance of different terminal area operational modes from the perspectives of volume, operational efficiency, and safety. In addition, controlled simulation experiments are conducted to compare the operational performance of the proposed hovering holding mode with a representative loitering holding mode under high-traffic scenarios. The results show that the hovering holding mode proposed in this paper can reduce UAV waiting time by 47.9 % compared to the loitering holding mode; the minimum airspace volume under the OQA operational mode is smaller than that of the DQA mode; the OQA mode demonstrates superior efficiency, while the DQA mode exhibits better performance from the perspective of safety.
无人机起降区终端空域是保证无人机安全高效运行的基础。在这个区域内,空中交通环境非常复杂,使得无人机容易发生碰撞、延误和其他问题。然而,对无人机起降区终端空域和飞行规则的研究仍然很少。设计了基于悬停等待模式的多层环形截锥体结构小型无人机终端空域,提出了两种终端空域运行模式:开放队列进近(OQA)和定向队列进近(DQA)。建立了这些操作模式的性能评价指标的数学模型。通过建立和求解混合整数非线性规划(MINP)模型,利用SimPy库开发无人机终端空域作战仿真环境,提出基于优化和统计的作战模式性能评价方法,从体积、作战效率和安全三个角度对不同的终端空域作战模式性能进行定量评价。此外,通过受控仿真实验,比较了所提出的悬停持持模式与具有代表性的徘徊持持模式在高流量场景下的运行性能。结果表明:本文提出的悬停保持模式比悬停保持模式可使无人机等待时间减少47.9%;OQA模式下的最小空域体积小于DQA模式;从安全角度看,OQA模式表现出更高的效率,DQA模式表现出更好的性能。
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引用次数: 0
From emotional data to decisions: A systematic review on how airlines use sentiments and emotions to stay ahead 从情绪数据到决策:对航空公司如何利用情绪和情绪保持领先地位的系统回顾
IF 3.6 2区 工程技术 Q2 TRANSPORTATION Pub Date : 2025-10-04 DOI: 10.1016/j.jairtraman.2025.102911
Francisco Antunes , Manuela Freire , Paulo Melo , João Paulo Costa
This study examines the application of sentiment analysis (SA) and emotion detection (ED) within the airline industry. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology, we identified and evaluated relevant literature from Scopus, Web of Science, and Google Scholar (2014–2024), yielding 60 high-quality studies. The results are organized into four thematic clusters: customer analysis, crisis management, business improvements, and analytics techniques.
In customer analysis, SA/ED techniques are used to process feedback from social media, review sites, and surveys, enhancing service quality and brand reputation. The crisis management section demonstrates how these methods facilitate the early detection of issues and prompt timely responses during disruptions. Business improvements are addressed through demand forecasting, marketing optimization, and operational adjustment. The analytics techniques section evidences a shift in SA from traditional lexicon-based methods to advanced machine learning, deep learning, and hybrid approaches, including transformer-based models.
We also highlight research gaps, emphasizing the need for robust real-time systems and improved multilingual data handling. Overall, the findings underscore the potential of SA/ED to drive agile, customer-centric strategies and invite further exploration into integrated analytical models for the airline industry.
本研究探讨了情绪分析(SA)和情绪检测(ED)在航空业中的应用。采用系统评价和荟萃分析首选报告项目(PRISMA)方法,我们从Scopus、Web of Science和谷歌Scholar(2014-2024)中识别和评估了相关文献,获得了60篇高质量的研究。结果分为四个主题集群:客户分析、危机管理、业务改进和分析技术。在客户分析中,SA/ED技术用于处理来自社交媒体、评论网站和调查的反馈,从而提高服务质量和品牌声誉。危机管理部分演示了这些方法如何促进及早发现问题,并在中断期间迅速作出及时反应。业务改进是通过需求预测、营销优化和运营调整来实现的。分析技术部分证明了SA从传统的基于词典的方法向高级机器学习、深度学习和混合方法(包括基于转换器的模型)的转变。我们还强调了研究差距,强调需要强大的实时系统和改进的多语言数据处理。总体而言,研究结果强调了SA/ED在推动敏捷、以客户为中心的战略方面的潜力,并促使人们进一步探索航空业的综合分析模型。
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引用次数: 0
Business travel stress and the moderating effect of corporate aircraft utilization on employee Well-Being: Business aviation from a stakeholder perspective 商务旅行压力及公务机使用对员工幸福感的调节作用:利益相关者视角下的公务机
IF 3.6 2区 工程技术 Q2 TRANSPORTATION Pub Date : 2025-10-03 DOI: 10.1016/j.jairtraman.2025.102912
Bas de Bruijn, Annelies Oosterhoff, Bas Kodden
This study investigates how access to corporate aircraft moderates the relationship between business travel stress and employee well-being. Using the Job-Demands-Resources and Person-Environment Fit models, this research reveals that business travel stress relates to time pressure, travel environment, and work-family conflict, which affect physical, psychological, and social well-being. However, corporate aircraft use restores control, relieves stress, and reduces fatigue, emotional exhaustion, and work-family conflict. Additionally, it offers positive travel experiences that enhance employee energy, engagement, and job satisfaction. This study addresses a research gap by being the first to explore business travel stress and well-being in corporate aircraft operations, expanding the Job-Demands-Resources model. These findings provide a foundation for future research to further investigate the nuanced relationship between business travel stress and employee well-being. Organizations can benefit from the findings by redefining their business case for corporate aircraft, prioritizing stakeholder well-being as a primary source of return on investment.
本研究旨在探讨使用公务机如何调节出差压力与员工幸福感之间的关系。运用工作需求-资源模型和人-环境匹配模型,研究发现出差压力与时间压力、出差环境和工作-家庭冲突有关,影响着员工的身体、心理和社会幸福感。然而,公务飞机的使用恢复了控制,缓解了压力,减少了疲劳、情绪疲惫和工作与家庭的冲突。此外,它还提供积极的旅行体验,提高员工的精力、敬业度和工作满意度。本研究首次探讨了公务机运营中的商务旅行压力和幸福感,扩展了工作需求-资源模型,从而填补了研究空白。这些发现为未来进一步研究差旅压力与员工幸福感之间的微妙关系提供了基础。组织可以通过重新定义公务机的商业案例,优先考虑利益相关者的福祉,将其作为投资回报的主要来源,从而从研究结果中受益。
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引用次数: 0
Electric vertical take-off and landing aircraft selection for ultra-short-haul routes: fuzzy AHP approach 超短程航线电动垂直起降飞机选择:模糊层次分析法
IF 3.6 2区 工程技术 Q2 TRANSPORTATION Pub Date : 2025-09-18 DOI: 10.1016/j.jairtraman.2025.102909
Slavica Dožić , Jovana Kuljanin , Danica Babić , Milica Kalić , Jordi Pons-Prats
The analysis and understanding of the environmental effects of air transport has been attracting the attention of academia and the industry for more than 20 years. It is also evident that this environmental concern has grown in recent years, with a special focus on ultra-short-haul flights. In light of a new restriction recently introduced in some EU countries related to ultra-short-haul flight bans, and the recent developments in electric propulsion technologies, the electric vertical take-off and landing aircraft (eVTOL) offers a possibility for airlines to regain these routes. Considering the route requirements, together with the performance of electric new vehicles, the main objective of this paper is to select the new eVTOL aircraft, which could be exploited instead of conventional aircraft types. The proposed approach is based on the Fuzzy Analytic Hierarchy Process (FAHP) in combination with logarithmic fuzzy preference programming (LFPP) to derive priorities from expert judgments. The analysis considers operational and performance requirements for six eVTOLs candidate, evaluates their suitability through multi-criteria decision making, and examines how sensitive the results are to changes in the weighting of criteria. To illustrate the practical potential of eVTOL adoption, two banned European routes are analyzed. The findings highlight both the opportunities and limitations of integrating eVTOLs into short-haul networks and provide directions for future research in sustainable air transport. Additionally, the FAHP-derived solution, is consistently confirmed across all stakeholder groups as the most appropriate alternative.
20多年来,航空运输对环境影响的分析和认识一直受到学术界和工业界的关注。同样明显的是,近年来这种对环境的关注有所增长,尤其是超短途航班。鉴于一些欧盟国家最近出台了与超短程飞行禁令有关的新限制,以及电力推进技术的最新发展,电动垂直起降飞机(eVTOL)为航空公司重新获得这些航线提供了可能。考虑航线要求,结合电动新车的性能,本文的主要目标是选择新的eVTOL飞机,可以替代传统的飞机类型。该方法基于模糊层次分析法(FAHP)和对数模糊偏好规划(LFPP)相结合,从专家判断中确定优先级。分析考虑了六个候选evtol的操作和性能要求,通过多标准决策评估其适用性,并检查结果对标准权重变化的敏感性。为了说明eVTOL采用的实际潜力,分析了两条被禁止的欧洲航线。研究结果强调了将eVTOLs整合到短途网络中的机遇和局限性,并为未来可持续航空运输的研究提供了方向。此外,fahp衍生的解决方案在所有利益相关者群体中被一致确认为最合适的替代方案。
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引用次数: 0
Evaluating risk-based hazard corridors in air traffic controller decisions during space launch failures 航天发射失败时空中交通管制员决策中基于风险的危险走廊评估
IF 3.6 2区 工程技术 Q2 TRANSPORTATION Pub Date : 2025-09-17 DOI: 10.1016/j.jairtraman.2025.102904
Wei Zhou , Zhengyi Wang , Sameer Alam , Leo Julius Materne , Thorsten Mühlhausen , Daniel Delahaye
The increasing frequency and diversity of space launch activities challenge the safety and reliability of current air traffic management systems. In this study, we present a risk-based hazard corridor methodology for managing air traffic during space launch failures. Our method combines a debris propagation model with a hazard corridor construction approach that estimates the risk posed by debris to aircraft. We evaluated the constructed risk-based hazard corridors using high-fidelity human-in-the-loop simulations. In our experiments, air traffic controllers managed two strategies of hazard corridors. The dynamic hazard corridor updated the boundary in real-time while the static hazard corridor remained fixed by consolidating the dynamic boundaries over the entire activation period until the last piece of debris fell. The results show that controllers maintained safety separation across all scenarios, although their real-time workload increased significantly during hazard corridor activation. Overall, the controllers’ perceived workload and situation awareness remained stable, implying that the task demands were acceptable for all the experimental runs. Efficiency measure results indicate that the dynamic hazard corridor can reduce extra flight distance and delays, thus minimizing operational disruption caused by space launch failures. We also found that more experienced controllers tend to choose more cautious and conservative rerouting strategies. These findings offer practical guidance for improving resilience in air and space management integration. Furthermore, our study provides a basis for modeling air traffic controller behavior under emergency conditions in a way that is more in line with the real world patterns.
空间发射活动的日益频繁和多样化对当前空中交通管理系统的安全性和可靠性提出了挑战。在这项研究中,我们提出了一种基于风险的危险走廊方法,用于管理航天发射失败期间的空中交通。我们的方法结合了碎片传播模型和危险走廊构建方法,以估计碎片对飞机构成的风险。我们使用高保真人在环模拟来评估构建的基于风险的危险走廊。在我们的实验中,空中交通管制员管理两种危险走廊策略。动态危险走廊实时更新边界,而静态危险走廊在整个激活期间通过巩固动态边界保持固定,直到最后一块碎片落下。结果表明,控制员在所有场景中都保持了安全隔离,尽管他们的实时工作量在危险走廊激活期间显著增加。总体而言,控制者的感知工作量和态势感知保持稳定,这意味着任务需求在所有实验运行中都是可接受的。效率测量结果表明,动态危险走廊可以减少额外的飞行距离和延误,从而最大限度地减少因航天发射故障造成的运行中断。我们还发现,更有经验的控制员倾向于选择更谨慎和保守的改道策略。这些发现为提高航空航天管理一体化弹性提供了实践指导。此外,我们的研究为紧急情况下空中交通管制员行为的建模提供了一个更符合现实世界模式的基础。
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引用次数: 0
Flight centric complexity and allocation of flights to controllers 以飞行为中心的复杂性和分配给控制器的飞行
IF 3.6 2区 工程技术 Q2 TRANSPORTATION Pub Date : 2025-09-17 DOI: 10.1016/j.jairtraman.2025.102906
Patrice Zombré , Andréas Guitart , Daniel Delahaye , Oludolapo A. Olanrewaju , Fabio Krykhtine , Felix Mora-Camino
Within the recent Trajectory Based Operations (TBO) framework for air traffic management, this communication addresses the problem of assigning flights to controllers. A new flight centric complexity measure of air traffic is adopted to characterise the traffic complexity of each flight and then to quantify the workload resulting from its supervision by controllers. Within the TBO framework, at the pre-tactical level, an original flight centric optimal assignment problem of flights to controllers is formulated. The solution of this problem determines, on the one hand, the size of the control during a given period of time, which is only a step towards the full sizing of the ATCO workforce for an entire day and, on the other hand, an optimal distribution of the traffic control workload between controllers and the corresponding flights under their supervision. The computational complexity of this combinatorial problem leads to the development of an approximate solution method to deal with it. A heuristic is effectively developed to provide a feasible solution at an acceptable computational cost, allowing the treatment of problems of large dimension. A case study is presented to compare the performance of the solution provided by the heuristic with three practical methods. The proposed heuristic appears to be superior to these methods, and the performances that can be expected from it are: feasibility with respect to capacity constraints, minimisation of interactions between controller teams, and balanced workload distribution. Then, tactical issues are introduced and different schemes, all based directly or indirectly on the introduced flight centric complexity measure, are discussed to face operational disturbances and air traffic conflicts.
在最近用于空中交通管理的基于轨迹的操作(TBO)框架中,这种通信解决了将航班分配给管制员的问题。采用了一种新的以飞行为中心的空中交通复杂性度量方法来表征每个航班的交通复杂性,从而量化管制员监督所带来的工作量。在TBO框架内,在战术前层面,提出了一个原始的以飞行为中心的航班到管制员的最优分配问题。这个问题的解决,一方面决定了给定时间内的管制规模,这只是向ATCO全天工作人员的全部规模迈出的一步,另一方面,在管制员和他们监管的相应航班之间实现交通管制工作量的最佳分配。这种组合问题的计算复杂性导致了近似解方法的发展来处理它。在可接受的计算成本下,有效地开发了一种启发式方法,以提供可行的解决方案,允许处理大维度的问题。通过实例比较了启发式算法与三种实际方法的性能。所提出的启发式方法似乎优于这些方法,并且可以从中预期的性能是:关于容量限制的可行性,控制器团队之间的交互最小化,以及平衡的工作负载分配。然后,介绍了战术问题,并讨论了直接或间接基于引入的以飞行为中心的复杂性度量的不同方案,以应对作战干扰和空中交通冲突。
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Journal of Air Transport Management
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