2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)最新文献

{"title":"A New Graph-Based Flight Planning Algorithm for Unmanned Aircraft System Traffic Management","authors":"Sang-Yun Bae, Hyo-Sang Shin, A. Tsourdos","doi":"10.1109/DASC.2018.8569609","DOIUrl":"https://doi.org/10.1109/DASC.2018.8569609","url":null,"abstract":"To efficiently and safely provide various types of services, small Unmanned Aircraft System (sUAS) are envisioned to be integrated with other airspace users. sUAS operation types such as route network, free flight, free routing can be determined depending on services, operating environments, etc. This paper addresses a route network-based flight planning problem that includes separation considered routing and scheduling for multiple sUASs. We propose an algorithm that generates each a route and schedule for each flight from its origin to its destination to minimise each sUAS’ flight time while satisfying the minimum separation requirement at all times. The algorithm consists of an inner loop and an outer loop. In the inner loop each sUAS optimises its flight plan by solving its unique shortest path problem in a decentralised way. In the outer loop one of the flights is allocated using a centralised algorithm in each outer loop. The algorithm continues until all flights are allocated. As a preliminary study, we demonstrate the proposed algorithm through case studies for “last-mile delivery”, and “first-mile delivery”. The main contributions of this paper are as follows: increasing a solution search space by solving routing and scheduling problems simultaneously with separation assurance; low computational time. The proposed algorithm can be potentially applied to airspace capacity estimation and throughput of service points.","PeriodicalId":405724,"journal":{"name":"2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133127453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of ADS-B Trajectories in the Republic of Korea with DAA Well Clear Metrics","authors":"Hyeonwoong Lee, Bae-seon Park, Hak-Tae Lee","doi":"10.1109/DASC.2018.8569702","DOIUrl":"https://doi.org/10.1109/DASC.2018.8569702","url":null,"abstract":"Currently, a team of researchers from leading Universities and Government funded research institutes in the Republic of Korea are working together to enable mixed operation of manned and civil unmanned aircraft in the Korean National Airspace by 2020. In this paper, impacts of the detection range and angle of a generic Detect-And-Avoid (DAA) system on DAA Well Clear (DWC) metrics are investigated. Recorded Automatic Dependent Surveillance-Broadcast (ADS-B) trajectory data within about 150 nautical miles from the Inha University are used, which includes Incheon International Airport (ICN) and Gimpo International Airport (GMP). Efforts are made to provide a guideline for acceptable detection range and detection angles with respect to the risk level that reflects the air traffic characteristics of the Republic of Korea. The analyses show that, with ±70° of detection azimuth, ±30° of detection elevation, and 56,000 ft of detection range, more than 99 % of the threats can be detected by either the ownship or the intruder.","PeriodicalId":405724,"journal":{"name":"2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121889148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhanced Functions for a Parallel Multicore Ground Proximity Warning System","authors":"David Mueller, Umut Durak","doi":"10.1109/DASC.2018.8569446","DOIUrl":"https://doi.org/10.1109/DASC.2018.8569446","url":null,"abstract":"The German Aerospace Center (DLR) is currently developing a Terrain Awareness and Warning System (TAWS) utilizing the worst case execution time (WCET)-Aware PaRallelization of Model-Based Applications for HeteroGeneOus Parallel Systems (ARGO) approach. The basic functions of the TAWS were modelled based on the Enhanced Ground Proximity Warning System (EGPWS) by Honeywell which is installed in DLR's research aircraft ATRA. Moreover, beyond the existing capabilities, “Enhanced” functions are being implemented in order to demonstrate the possibilities that become available through the use of parallelization for multicore platforms and to investigate new approaches to improve the protection against Controlled Flight into Terrain (CFIT) accidents. After introducing the parallel multicore TAWS development, this paper describes the enhanced functions that make use of the Electronic Flight Instrument System (EFIS) for displaying a predictor symbol that represents the aircraft's future position as well as possible terrain conflicts.","PeriodicalId":405724,"journal":{"name":"2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122178904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A time synchronization protocol for A664-P7","authors":"Frédéric Boulanger, Dominique Marcadet, Martin Rayrole, Safouan Taha, B. Valiron","doi":"10.1109/DASC.2018.8569837","DOIUrl":"https://doi.org/10.1109/DASC.2018.8569837","url":null,"abstract":"The norm for A664-P7 networks used in avionic does not offer any mean of defining a common time reference to the various applications running on end-systems. In this paper, we propose an algorithm to provide such a time reference. To support the proposal, we implemented the algorithm and ran experiments with OMNeT++ to explore the robustness of the approach.","PeriodicalId":405724,"journal":{"name":"2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124760395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Use of an aircraft monitoring system for Condition Assessment of a maneuvering area","authors":"Ludek Cicmanec, J. Holecek, Petr Kalvoda","doi":"10.1109/DASC.2018.8569860","DOIUrl":"https://doi.org/10.1109/DASC.2018.8569860","url":null,"abstract":"this paper deals with the use of an aircraft monitoring system for quality assessment of an airport maneuvering area. Having selected an essential airplane and its monitoring system, the focus is aimed at automatization of surface quality and defect inspection. Following this, the data set from the monitoring system is processed and correlated with the real surface condition assessed by traditional means.","PeriodicalId":405724,"journal":{"name":"2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125062572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Flight Management System Pathfinding Algorithm for Automatic Vertical Trajectory Generation","authors":"Ramon Andreu Altava, Jean-Claude Méré, D. Delahaye, T. Miquel","doi":"10.1109/DASC.2018.8569254","DOIUrl":"https://doi.org/10.1109/DASC.2018.8569254","url":null,"abstract":"Air Traffic has evolved over the years with current commercial fleet expected to double in the near future, increasing airspace congestion. Jet fuel prices volatility, market competition and drones integrating the same airspace require a modernization of the Air Transportation System. In this context, Airbus proposes modern avionics and cockpit designs to fulfil these requirements. Flight Management System (FMS), in-service since the early 1980s, is one of these candidate avionic systems to be revisited. During high workload flight phases as descent and approach are, best-in-class FMSs compute a fixed vertical reference trajectory based on a lateral flight plan and applicable procedures. Then, flight guidance is responsible for tactical replanning so that deviations are absorbed. FMS reference profile is constructed through a series of hypotheses, which could be enhanced by taking into account other factors such as aircraft optimal energy repartition, ATC restrictions, surrounding traffic, wind errors and mass biases. This paper proposes and compares two methodologies based on a modified version of A* algorithm that solves the Optimal Control Problem in the vertical plane. Fixed and variable speed aircraft trajectories are compared in order to quantify the benefits with respect to current FMS design. The problem is formulated through a relaxed point-mass model with a real performance database for a modern commercial aircraft. It accounts for flight constraints as well as aircraft dynamics for trajectory generation. Fuel consumption is optimized without excessively penalizing flight time. These trajectories are compared with those generated by Airbus FMS simulator. Results show that, for modern arrival procedures such as those defined for Continuous Descent Operations, aircraft energy management (potential and kinetic) is enhanced, producing continuously idle trajectories that consume up to 30 % less fuel than current operations, as obtained for this particular procedure. In that case, flight time would be stretched by few minutes yielding to 15% extra time, whose trade-off still seems interesting from the airline perspective.","PeriodicalId":405724,"journal":{"name":"2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125902390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data Lake Architecture for Air Traffic Management","authors":"R. Raju, R. Mital, Daniel M. Finkelsztein","doi":"10.1109/dasc.2018.8569361","DOIUrl":"https://doi.org/10.1109/dasc.2018.8569361","url":null,"abstract":"The air traffic transformation underway in the US with the FAA NextGen and in Europe with SESAR relies on information sharing and system interoperability to increase efficiencies, safety and capacity. The proliferation and dissemination of flight, weather, aeronautical, and environmental data by all air traffic participants represents a treasure trove of air traffic optimization opportunities awaiting to be exploited. Traditional data exploitation methods and tools tend to rely on structured data stores and analytical capability architected to answer defined and current questions. SGT, in collaboration with the US DOT Volpe National Transportation Systems Center, developed a prototype air transportation cloud based Data Lake to harness big data from a variety of sources and build the current and next generation of analytics capability. The Data Lake prototype ingests data from multiple sources including FAA sources like SFDPS, TFMData, TBFM, STDDS, ITWS, and AEDT data sources, and stores it in raw, processed, and refined format. The prototype offers an illustration for how users can realize powerful air traffic related data analysis using structured, unstructured and semi-structured data using open source tools to execute queries, searches, processing streams and to visualize data. Using a combination of traditional SQL and NOSQL, Open-Source and COTS products - PostgreSQL, Elastic-Logstash-Kibana, Apache Kafka, Apache Spark and visualization tools like Tableau, D3 and others, the project shows how analysts can quickly and easily build powerful data pipelines and statistical models.","PeriodicalId":405724,"journal":{"name":"2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130085400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Discussion On Density-Based Clustering Methods Applied for Automated Identification of Airspace Flows","authors":"Christian Verdonk Gallego, V. G. Gómez Comendador, F. S. Sáez Nieto, Miguel Garcia Martinez","doi":"10.1109/DASC.2018.8569219","DOIUrl":"https://doi.org/10.1109/DASC.2018.8569219","url":null,"abstract":"Air Traffic Management systems generate a huge amount of track data daily. Flight trajectories can be clustered to extract main air traffic flows by means of unsupervised machine learning techniques. A well-known methodology for unsupervised extraction of air traffic flows conducts a two-step process. The first step reduces the dimensionality of the track data, whereas the second step clusters the data based on a density-based algorithm, DBSCAN. This paper explores advancements in density-based clustering such as OPTICS or HDBSCAN*. This assessment is based on quantitative and qualitative evaluations of the clustering solutions offered by these algorithms. In addition, the paper proposes a hierarchical clustering algorithm for handling noise in this methodology. This algorithm is based on a recursive application of DBSCAN* (RDBSCAN*). The paper demonstrates the sensitivity of these algorithms to different hyper-parameters, recommending a specific setting for the main one, which is common for all methods. RDBSCAN* outperforms the other algorithms in terms of the density-based internal validity metric. Finally, the outcome of the clustering shows that the algorithm extracts main clusters of the dataset effectively, connecting outliers to these main clusters.","PeriodicalId":405724,"journal":{"name":"2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130278753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Principles for Minimizing Cognitive Assistance Distraction in the Cockpit","authors":"S. Estes, J. Helleberg, Kevin Long, Joseph Menzenski, Chad Myles, M. Pollack, M. Quezada, Jeffrey Stein","doi":"10.1109/DASC.2018.8569802","DOIUrl":"https://doi.org/10.1109/DASC.2018.8569802","url":null,"abstract":"Over the last three years, the MITRE Corporation has been developing a cognitive assistant concept for pilots called Digital Copilot. Digital Copilot reduces pilot workload and increases safety by offloading pilot tasks, increasing task efficiency, and inferring pilot intent to provide the right information at the right time. In this paper, we will introduce the Digital Copilot concept and review three design principals for the cockpit cognitive assistance gleaned from the design process, flight testing, and simulator studies of Digital Copilot with General Aviation pilots.","PeriodicalId":405724,"journal":{"name":"2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127376397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adaptive Augmentation of an Unmanned Aerial Vehicle's Flight Control System","authors":"J. Vlk, Peter Chudý","doi":"10.1109/DASC.2018.8569881","DOIUrl":"https://doi.org/10.1109/DASC.2018.8569881","url":null,"abstract":"The proposed paper introduces the design of an adaptive augmentation of an Unmanned Aerial Vehicle's (UAV) Flight Control System (FCS). A Linear Quadratic Regulator (LQR) algorithm has been employed as a base-line control strategy and enhanced with an adaptation loop based on a Model Reference Adaptive Control (MRAC) technique.","PeriodicalId":405724,"journal":{"name":"2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129168737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}