Evaluation of onboard taxi guidance support on pilot performance in airport surface navigation

التفاصيل البيبلوغرافية
العنوان: Evaluation of onboard taxi guidance support on pilot performance in airport surface navigation
المؤلفون: Marcus Biella, Bernd Lorenz
سنة النشر: 2006
مصطلحات موضوعية: eye-tracking, Engineering, business.industry, Controller (computing), 05 social sciences, TARMAC-AS, Poison control, Controller–pilot data link communications, airport surface situation awareness, Air traffic control, 050105 experimental psychology, Cockpit, Medical Terminology, Data link, Aeronautics, Advanced Surface Movement Guidance and Control Systems, 0501 psychology and cognitive sciences, pilot performance, business, Visibility, Guidance system, 050107 human factors, Simulation, Medical Assisting and Transcription
الوصف: Advanced Surface Movement Guidance and Control Systems (A-SMGCS) comprise a range of new technologies for both the flight deck and ground air traffic control and is supposed to enable increased safety and a more efficient throughput at presently highly congested major airports. A flight deck A-SMGCS module is the onboard guidance system TARMAC-AS. This module consists of controller pilot data link communication (CPDLC) and an electronic moving map (EMM), which also serves as a cockpit display of traffic information (CDTI). TARMAC-AS is evaluated in an investigation involving 49 commercial pilots who performed a series of approach, landing and taxiing simulation trials under varied visibility, which were completed in a fixed-base cockpit simulator. Results support the notion that an EMM + CPDLC + CDTI improve the effectiveness of taxi navigation. A potential negative impact of observed increased head-down times to the compelling TARMAC display on unexpected outside scene obstacle detection was not substantiated.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a0bb3137d658ee7a7045e07858f9902
https://elib.dlr.de/44498/
Rights: CLOSED
رقم الانضمام: edsair.doi.dedup.....1a0bb3137d658ee7a7045e07858f9902
قاعدة البيانات: OpenAIRE