Departure management holds the promise of improved runway throughput and reduced queue length, taxi time, fuel burn, and emissions. A departure management tool (DMAN) in development at Sensis Corporation achieves these benefits by controlling the times at which aircraft push back from the gate or enter the airport movement area. DMAN automatically determines times for taxi clearance and take-off for each flight, and allows users to modify this schedule as desired. This tool integrates with existing information sources and other decision support tools, requiring minimal equipment investment and minimal changes to operational practice. Therefore, the efficiency benefits of departure management are achievable today. We evaluate the likely benefits of using a departure management tool by performing day-long simulations of traffic at two airports - John F. Kennedy International Airport (JFK) and Philadelphia International Airport (PHL). For each airport, we simulate two scenarios. The first is a baseline in which departures taxi and queue at the runway on a first-come-first-served (FCFS) basis, corresponding to airport operations today. The quantitative accuracy of this model is validated by comparing to recorded surveillance data. In the second simulated scenario, DMAN is used to hold aircraft at the gate and to adjust the departure sequence. Comparing taxi times, fuel burn, emissions, and overall delay between the two scenarios, we find substantial improvement in all of these measures when the DMAN tool is in use.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Departure management: Savings in taxi time, fuel burn, and emissions


    Contributors:


    Publication date :

    2010-05-01


    Size :

    418115 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Impact of Congestion on Taxi Times, Fuel Burn, and Emissions at Major Airports

    Simaiakis, Ioannis / Balakrishnan, Hamsa | Transportation Research Record | 2010



    Method for selecting taxi departure mode

    ZHANG QIANG / MA XIANGYU / LI HONGBO et al. | European Patent Office | 2021

    Free access

    Departure Taxi Time Predictions Using ASDE-X Surveillance Data

    Levy, B. / Legge, J. / Lefebvre, K. et al. | British Library Conference Proceedings | 2008


    Departure Taxi Time Predictions Using ASDE-X Surveillance Data

    Levy, Benjamin / Legge, Jeffrey | AIAA | 2008