Massachusetts Institute of Technology. Airport Systems Planning & Design

Similar documents
Specialist's Factual Report of Investigation Cockpit Voice Recorder

Airport Apron Capacity Estimation Model Enhancement

Estimation of Arrival-Departure Capacity Tradeoffs in Multi-Airport Systems

CONCURRENT AIRCRAFT ROUTING AND MAINTENANCE SCHEDULING

booked( checki GUESTFORROOM AND TAX.

A Small Aircraft Transportation System (SATS) Demand Model

University of Toronto Department of Economics. A Dynamic Game of Airline Network Competition: Hub-and-Spoke Networks and Entry Deterrence

Estimated Time of Arrival (ETA) Based Elevator Group Control Algorithm with More Accurate Estimation

ESPON High Level Conference Targeted Analyses for Stakeholders: Territorial Evidence in Practice. 11 May 2011 in Brussels. Practical Information

Vietnam Swim Mission APRIL JULY TOLL FREE MORE INFORMATION

Long Term Preventive Generation Maintenance Scheduling with Network Constraints Ali Badri a*, Ahmad Norozpour Niazi b, Seyyed Mehdi Hoseini c

i -1;= r --- ~ - -=-- -1

Kinematics and Dynamics Simulation Research for Roller Coaster Multi-body System Gening Xu a, Hujun Xin b, Fengyi Lu c,mingliang Yang d

TRAFFIC IMPACT STUDY. for TOLLGATE VILLAGE. Thompson s Station, Tennessee. February 25, Prepared for:

Airline Route Structure Competition and Network Policy

EXISTING CONDITIONS AND CHARACTER Cedar Field currently contains a play area, a basketball court with two back-to-back hoops, and an informal

Massport Study Team Evaluation of CAC Noise Study Alternatives. October 2010

The effect of the High Aswan Dam on the hydrological regime of the River Nile

Automated Integration of Arrival and Departure Schedules

Contiguous to CHS Blue Ridge Hospital BURKE PRIMARY CARE PHIFER WELLNESS CENTER. Bush Drive EXIT 105 EL PASO MEXICAN QUALITY MART QUICK MART

Itinerary for Group 16302

2016 Air Service Updates

FAI Sporting Code. CIVL GAP Annex to Section 7A Centralised Cross-Country Competition Scoring for Hang Gliders and Paragliders Classes 1 to 5

World Class Airport For A World Class City

Town of Twisp Council Minutes - 08/23/2016

Yellowstone National Park

2016 Air Service Updates

Megahubs United States Index 2018

Government of Kerala. Department of Factories And Boilers Boiler Operation Engineers' Examinationo July 2012 Paper-1 Maximum:100.

Fuel Burn Impacts of Taxi-out Delay and their Implications for Gate-hold Benefits

Airport Characterization for the Adaptation of Surface Congestion Management Approaches*

ΟPTIMIZATIΟN ΟF DIMENSIΟNAL PRΟCESSING PRΟCESS THRΟUGH CΟMPLEX ELECTRIC ERΟSIΟN WITH INTRΟDUCING ΟF THE ELECTRΟLITE THRΟUGH THE TRANSFER ΟBJECT

2016 Air Service Updates

2016 Air Service Updates

Joint Analysis Team: Performance Assessment of Boston/Gary Optimal Profile Descents and DataComm

Municipal Services (Public Works) projects collectively encompass a wide

Abstract. Introduction

AD-A PEAT MARWICK( MITCHELL AND CO SAN FRANCISCO CALIF F/ 1/I2 LAMBERT-ST. LOUIS INTERNATIONAL AIRPORT DATA PACKAGE NUMBER 3.

DEPARTURE THROUGHPUT STUDY FOR BOSTON LOGAN INTERNATIONAL AIRPORT. Ioannis Simaiakis and Hamsa Balakrishnan

Validation of Runway Capacity Models

J fel lf S REL..EASE. New Passenger Record for Las Vegas McCarran International Airport in 2017

SIMULATION METHODS FOR AIRPORT FACILITIES

Airport Noise Management Report 1st Quarter 2018

Have Descents Really Become More Efficient? Presented by: Dan Howell and Rob Dean Date: 6/29/2017

m a r k e t % +/- average house price [s.a. 150,257] % owner occupied [s.a ] railway station % growth

Integrated Optimization of Arrival, Departure, and Surface Operations

Partnership for AiR Transportation Noise and Emissions Reduction. MIT Lincoln Laboratory

FACTORS AFFECTING THE PRODUCTIVITY OF OSPREYS NESTING IN WEST-CENTRAL IDAHO

Airport Noise Management Annual Report 2016

Opportunistic Maintenance in Aircraft using Relevant Condition Parameter based Approach

Massport Social Media

World Class Airport For A World Class City

Multiple-Instance Image Database Retrieval by Spatial Similarity Based on Interval Neighbor Group

The Airline Analyst Financial Ratings Webinar Presentation 18 th January Michael Duff, Managing Director, The Airline Analyst

World Class Airport For A World Class City

MIT ICAT. Robust Scheduling. Yana Ageeva John-Paul Clarke Massachusetts Institute of Technology International Center for Air Transportation

UNIVERSITY AVE MADISON YARDS HILL FARMS (13.9 ACRES) THE NORMANDY APARTMENTS THE SOVEREIGN TOWER PARK TOWER AT HILLDALE FIGURE 1 - LOCATOR MAP

Evaluation of Pushback Decision-Support Tool Concept for Charlotte Douglas International Airport Ramp Operations

Airport Noise Management Report 1st Quarter 2017

Description of the National Airspace System

Technical Report. Aircraft Overflight and Noise Analysis. Brisbane, California. December Prepared by:

Estimating Sources of Temporal Deviations from Flight Plans

Airport Noise Management Report 1st Quarter 2018

Airport Noise Management Report

Airport Gate Assignment A Hybrid Model and Implementation

Kristina C. Bishop and R. John Hansman. Report No. ICAT May 2012

First Quarter 2013 Community Noise Consortium Meeting Thursday, May 16, 2013

Reduced Surface Emissions through Airport Surface Movement Optimization. Prof. Hamsa Balakrishnan. Prof. R. John Hansman

MINNESOTA. Regional Air Service Study. The KRAMER Team

A Framework for Coordinated Surface Operations Planning at Dallas-Fort Worth International Airport

PITTSBURGH INTERNATIONAL AIRPORT ANALYSIS OF SCHEDULED AIRLINE TRAFFIC. October 2016

Integration of Reusable Launch Vehicles (RLV) into the Air Traffic Management System

World Class Airport For A World Class City

SAN JOSÉ INTERNATIONAL AIRPORT

2010 FIFA WORLD CUP ATNS PREPARATIONS

OPERATING HOURS AND FACILITATION PARAMETERS & PRINCIPLES FOR SALZBURG AIRPORT

L1584-D1 North Service Area Improvements Program

Boston Logan International Airport Operational Overview

Combining Control by CTA and Dynamic En Route Speed Adjustment to Improve Ground Delay Program Performance

Evaluation of Predictability as a Performance Measure

RECEDING HORIZON CONTROL FOR AIRPORT CAPACITY MANAGEMENT

Quantile Regression Based Estimation of Statistical Contingency Fuel. Lei Kang, Mark Hansen June 29, 2017

Logan International Airport Right Sizing and Good Terminal Planning

Do Not Write Below Question Maximum Possible Points Score Total Points = 100

THE CIVIL AVIATION AUTHORITY OF THAILAND. Aeronautical Information Service Department AIP SUPPLEMENT

Part 1. Part 2. airports100.csv contains a list of 100 US airports.

Benefits Analysis of a Runway Balancing Decision-Support Tool

Distance to Jacksonville from Select Cities

Airline Operations A Return to Previous Levels?

~,~~f~-= A WARNING FOR YOUR SAFETY - Do not store or use gasoline or other flammable vapors or liquids in the vicinity of this or any other appliance.

Massport and FAA RNAV Pilot Study Overview Briefing to Massport CAC. December 8, 2016

Total Terminal One: 20, , ,230 22, , ,167 28, , ,552

From Planning to Operations Dr. Peter Belobaba

Study on the economic disparity and convergence of urban agglomeration in the middle reaches of the Yangtze River

LCCs vs. Legacies: Converging Business Models

Modeling Airline Fares

UNCLASSIFIED. . v..;, >. An ßepAaduced. Inf. Ute- ARMED SERVICES TECHNICAL INFORMATION AGENCY ARLINGTON HALL STATION ARLINGTON 12, VIRGINIA

Incentives and Competition in the Airline Industry

Surface Congestion Management. Hamsa Balakrishnan Massachusetts Institute of Technology

Naples Municipal Airport Master Plan. Joint NAA / NCC Workshop April 30, 2018

Transcription:

An Investgaton of Shared Gate Assgnment Case study n Termnal C of Boston s Logan Internatonal Arport nal Presentaton, 8 December 2009 Gerasmos Skaltsas

An Investgaton of Shared Gate Assgnment Case study n Termnal C of Boston s Logan Internatonal Arport OBJECTIVE: Estmate the mnmum requred number of gates n Termnal C for dfferent scenaros METHODOLOGY: Development of a lnear Integer Program Constructon of nput database Run model under dfferent scenaros (traffc, buffer tmes, maxmum allowed walkng dstance Gerasmos Skaltsas page 1

Termnal C Unted 10 JetBlue 9 Artran 3 Mdwest 1 Cape Ar 1 MASSPORT 4 C14 Jet Blue C 27 Cape Ar Eagl e Termnal B Ar Canada 3 US Arways 18 Amercan 16 Vrgn Am. 1 MASSPORT 1 Termnal E Southwest 2 MASSPORT 11 Termnal A Delta 22 Contnental 7 Gerasmos Skaltsas page 2

ORMULATION O LINEAR INTEGER PROBLEM SETS: G: Set of gates : Set of arcraft K ={1,2,3,4,5,6}: Set of arlnes r PARAMETERS: arr[]: the arrval tme of arcraft dep[]: the departure tme of arcraft gf[]: the AA arcraft group of arcraft group[]: the largest arcraft group that can be assgned to gate dst[,k]: the dstance between gates and k car[,r]: r f arcraft s operated by carrer r, 0 f operated by another carrer DECISION VARIABLES: X[]: 1 f gate s used durng the day, 0 f t remans unused ]: 1 f arcraft s assgned to gate, 0 f t s assgned to another gate OBJECTIVE UNCTION: MINIMIZE Gerasmos Skaltsas page 3

CONSTRAINTS: 1) When arcraft s assgned to gate (]=1) X[] = 1, otherwse X[] = 0 X[ ] ], G, X[ ] ], G n G 2) Every arcraft s assgned to one and only one gate ] 1, n G 3) Each arcraft must be assgned to a gate capable to accommodate the arcraft (AA group) ] gf[] group[], G, 4) No arcraft arrvng earler than the departure of arcraft m + buffer tme can be assgned smultaneously to the same gate wth arcraft m ] m] 1, G,, m m, arr[] dep[m] buffer 5) All flghts of the same carrer must be assgned to gates wthn a specfed dstance range ] Y[k, m] 1, k G, m, r K k, dst[, k] max d, car[,r] car[m, r] 0 Gerasmos Skaltsas page 4

number of movements DATABASE: 1. busest day of the year, rday, 5 October, n total 979 movements, (Columbus day, 8 October) 2. the day that matches to the 15 th percentle of traffc n descendng order, 8 August, n total 909 movements. 3. the medan day, 12 January, n total 855 movements 80 70 60 50 40 30 Average number of movements n Logan (2007) Dataset nput: only flghts assgned to gates between 13:00 and 20:00 Number of constrants decreased (473,746 constrants) Maxmum processng tme 6 hours 20 10 0 Otherwse (all flghts ncluded) processng tme could be > 23 hours or some scenaros ILOG OPL run out of memory (> 1,200,000 constrants) Gerasmos Skaltsas page 5

EXTRACTING THE GATE-IN and GATE-OUT TIMES OR EACH AIRCRAT Scheduled (and actual) gate departure and arrval tmes for all flghts of each day (AA ASPM). All successve flghts wth dentcal arcraft tal numbers are matched Based on specfc crtera : exstence of precedng or followng flght (wth dentcal arcraft tal number) flghts depart from Logan flghts arrves to Logan a set of scheduled (and actual) gate-n and gate-out tmes s computed for each arcraft LIGHTS AIRCRAT AACAR LTNO TAILNO ETMS_EQPT DEP_LOCID ARR_LOCID SCHOUTTM SCHINTM GATE IN GATE OUT GROUP UAL 424 N542UA B752 IAD BOS 12:13 13:45 UAL 181 N542UA B752 BOS SO 14:57 18:23 13:45 14:57 4 UAL 584 N544UA B752 DEN BOS 10:32 16:30 UAL 543 N544UA B752 BOS ORD 17:37 19:03 16:30 17:37 4 UAL 170 N546UA B752 SO BOS 06:25 14:47 UAL 715 N546UA B752 BOS DEN 16:14 18:36 14:47 16:14 4 Procedure appled to: all flghts of Unted, JetBlue, ArTran, Cape Ar and Mdwest any other flght that departed or arrved to Termnal C (based on lghtstat data) Gerasmos Skaltsas page 6

MINIMUM REQUIRED NUMBER O GATES OR EACH SCENARIO B U E R T I M E MAXIMUM WALKING DISTANCE (meters) no constr. 400 300 200 100 no constr. 400 300 200 100 BUSIEST DAY, scheduled tmes (84 arcraft) BUSIEST DAY, actual tmes (81 arcraft) 0 mn 19 19 19 19 20 20 20 20 20 20 10 mn 20 20 20 20 20 21 21 21 21 21 20 mn 23 23 23 23 24 23 23 23 23 25 30 mn 26 26 26 26 28 25 25 25 25 27 40 mn 28 28 28 nfeasble nfeasble 28 28 28 28 nfeasble 50 mn nfeasble nfeasble nfeasble nfeasble nfeasble nfeasble nfeasble nfeasble nfeasble nfeasble 60 mn nfeasble nfeasble nfeasble nfeasble nfeasble nfeasble nfeasble nfeasble nfeasble nfeasble 15th BUSIEST DAY, scheduled tmes (80 arcraft) 15th BUSIEST DAY, actual tmes (74 arcraft) 0 mn 15 15 15 15 15 17 17 17 17 17 10 mn 17 17 17 17 17 19 19 19 19 19 20 mn 19 19 19 19 20 20 20 20 20 22 30 mn 21 21 21 25 27 21 21 21 24 26 40 mn 23 23 24 25 27 23 23 24 24 27 50 mn 25 25 25 25 28 24 24 26 26 28 60 mn 26 26 27 nfeasble nfeasble 26 26 26 27 nfeasble MEDIAN, scheduled tmes (77 arcraft) MEDIAN, actual tmes (70 arcraft) 0 mn 15 15 15 15 19 18 18 18 18 20 10 mn 17 17 17 17 17 19 19 19 19 20 20 mn 19 19 19 19 20 19 19 19 19 21 30 mn 20 20 20 20 23 22 22 22 23 25 40 mn 23 23 23 23 25 23 23 24 24 27 50 mn 25 25 25 25 nfeasble 24 24 24 25 28 60 mn 26 26 26 27 nfeasble 27 27 27 28 nfeasble Gerasmos Skaltsas page 7

RESULTS: 1. The requred number of gates ncreases by the number of arcrafts 2. The gate assgnment for the actual tmes requres a hgher number of gates compared to the scheduled tmes, even for lower traffc reason: the actual tme that an arcraft occupes a gate, s hgher than the scheduled tme ( 65 mnutes average actual tme, 55 mnutes average scheduled tme) 3. In all cases an ncrease n buffer tmes results n ncreased number of gates 4. or buffer tmes 20 mnutes the optmal solutons s not affected by any dstance constrant 5. When the maxmum allowed dstance s greater than 200 meters the optmal soluton s not affected by the dstance constrant. 6. or buffer tmes 30 mnutes, lmtng the maxmum allowed dstance to less than 100 meters results to a maor ncrease of the optmal soluton (or the problem becomes nfeasble) Gerasmos Skaltsas page 8

CONCLUSIONS: Shared use of gates can result to a sgnfcant decrease n gate demand Accordng to the actual gate assgnment for the three studed days (lghtstat): all 28 gates were used and the walkng dstances between the gates were: 150 meters for Unted Arlnes and 400 meters for Jet Blue or a ratonal buffer tme of 30 mnutes the reducton n requred gates can be: Up to 8 gates n an average day Up to 2 gates even for the busest day of the year Benefts: Reducton n constructon cost (Reducton n operatng cost???) Dsadvantages: Less flexblty for maor carrers (Decentralzaton of operatons???) Gerasmos Skaltsas page 9

QUESTIONS?????? Gerasmos Skaltsas page 10