Time-Space Analysis Airport Runway Capacity. Dr. Antonio A. Trani. Fall 2017

Similar documents
Analysis of Air Transportation Systems. Airport Capacity

Quiz 2 - Solution. Problem #1 (50 points) CEE 5614 Fall Date Due: Wednesday November 20, 2013 Instructor: Trani

! Figure 1. Proposed Cargo Ramp at the end of Taxiway Echo.! Assignment 7: Airport Capacity and Geometric Design. Problem 1

Assignment 10: Final Project

Assignment 9: APM and Queueing Analysis

Appendix B Ultimate Airport Capacity and Delay Simulation Modeling Analysis

RUNWAY OPERATIONS: Computing Runway Arrival Capacity

Airfield Capacity Prof. Amedeo Odoni

Analysis of Operational Impacts of Continuous Descent Arrivals (CDA) using runwaysimulator

According to FAA Advisory Circular 150/5060-5, Airport Capacity and Delay, the elements that affect airfield capacity include:

Wake Turbulence Research Modeling

CEE 5614 and CEE Aircraft Classifications. Spring 2013

NextGen Priorities: Multiple Runway Operations & RECAT

Dr. Antonio A. Trani Professor of Civil Engineering Virginia Polytechnic Institute and State University. Spring 2015 Blacksburg, Virginia

ARCHERFIELD AIRPORT MASTER PLAN TECHNICAL PAPER TP 03/10 RUNWAY CAPACITY

Learning Objectives. By the end of this presentation you should understand:

Airport Engineering Lectures

Assignment 7: Airport Geometric Design Standards

Analysis of ATM Performance during Equipment Outages

Dr. Antonio A. Trani Professor of Civil Engineering Virginia Polytechnic Institute and State University. January 27, 2009 Blacksburg, Virginia

APPENDIX D MSP Airfield Simulation Analysis

Draft Concept Alternatives Analysis for the Inaugural Airport Program September 2005

Airport Runway Location and Orientation. CEE 4674 Airport Planning and Design

Potential Procedures to Reduce Departure Noise at Madrid Barajas Airport

CEE Quick Overview of Aircraft Classifications. January 2018

ANALYSIS OF THE CONTRIUBTION OF FLIGHTPLAN ROUTE SELECTION ON ENROUTE DELAYS USING RAMS

Airport Obstruction Standards

Key Purpose & Need Issues

ACRP Project 03-17: Evaluating Airfield Capacity

Design Airspace (Routes, Approaches and Holds) Module 11 Activity 7. European Airspace Concept Workshops for PBN Implementation

CENTER FOR AIR TRANSPORTATION SYSTEMS RESEARCH Education, Analysis and Research for the Next Frontier. Airport Capacity. Outline/Notes for Class

CHAPTER 5 SEPARATION METHODS AND MINIMA

The purpose of this Demand/Capacity. The airfield configuration for SPG. Methods for determining airport AIRPORT DEMAND CAPACITY. Runway Configuration

Analysis of Aircraft Separations and Collision Risk Modeling

Application of TOPAZ and Other Statistical Methods to Proposed USA ConOps for Reduced Wake Vortex Separation

Draft Concept Alternatives Analysis for the Inaugural Airport Program September 2005

Aircraft Classifications. Dr. Antonio Trani and Julio Roa Department of Civil and Environmental Engineering.

Guidance for Complexity and Density Considerations - in the New Zealand Flight Information Region (NZZC FIR)

Validation of Runway Capacity Models

CAUTION: WAKE TURBULENCE

!! CEE 4674 Airport Planning and Design. ! Antonio A. Trani Julio Roa

DEPARTMENT: CIVIL ENGINEERING SEMESTER: III SUBJECT CODE / Name: CE2303/ Railway, Airport and Harbors Engineering 2 MARK QUESTIONS AND ANSWERS

CEE 4674 Airport Planning and Design. Antonio A. Trani Julio Roa. Punta Cana Ecological Foundation Summer I, 2013

SECTION 6 - SEPARATION STANDARDS

ATC-Wake: Integrated Air Traffic Control Wake Vortex Safety and Capacity System

CHAPTER 6:VFR. Recite a prayer (15 seconds)

The Departure Regulator: A Working Paper

1.1.3 Taxiways. Figure 1-15: Taxiway Data. DRAFT Inventory TYPICAL PAVEMENT CROSS-SECTION LIGHTING TYPE LENGTH (FEET) WIDTH (FEET) LIGHTING CONDITION

TANZANIA CIVIL AVIATION AUTHORITY AIR NAVIGATION SERVICES INSPECTORATE. Title: CONSTRUCTION OF VISUAL AND INSTRUMENT FLIGHT PROCEDURES

Small Aircraft Transportation System (SATS) Environmental Noise Impact Study

National Transportation Safety Board Aviation Incident Final Report

Chapter III - Demand/Capacity and Facility Requirements

Nav Specs and Procedure Design Module 12 Activities 8 and 10. European Airspace Concept Workshops for PBN Implementation

LEYELOV I I ... ** L 8. I *~~~~~...i DATA PACKAGE IVM, 8~ AIRPORT IMPROVEMVENT TASK FORCE DELAY STUDIES

UPDATE ON THE 6 IDEAS (1-4) NAV CANADA

Chapter 3. Demand/Capacity & Facility Requirements

Application of Wake Turbulence Separation at London Heathrow. Paul Johnson Development Manager NATS Heathrow

Surveillance and Broadcast Services

Airport and Airspace Operations in the US (Air Traffic Control)

Wake Vortex R&D. Status Briefing. NBAA Convention. Federal Aviation Administration. By: Steve Lang Date: September 2007

Airport Geometric Design Standards

National Transportation Safety Board Aviation Accident Final Report

Analysis of Air Transportation Systems. The Aircraft and the System

IFR SEPARATION USING RADAR

Modeling the Impact of the A380 on Airport Capacity

Demand Forecast Uncertainty

[1] Gleim #: Source: AIM Para Learning Statement Code: PLT141

COLLISION AVOIDANCE FOR RPAS

MetroAir Virtual Airlines

Efficiency and Environment KPAs

REGULATION No. 10/2011 ON APPROVAL OF FLIGHT PROCEDURES INCLUDING SID-s AND STAR-s. Article 1 Scope of Application

National Transportation Safety Board Aviation Accident Final Report

Runway Length Analysis Prescott Municipal Airport

PBN AIRSPACE CONCEPT WORKSHOP. SIDs/STARs/HOLDS. Continuous Descent Operations (CDO) ICAO Doc 9931

ACAS on VLJs and LJs Assessment of safety Level (AVAL) Outcomes of the AVAL study (presented by Thierry Arino, Egis Avia)

CATCODE ] CATCODE

Atlanta NextGen PBN Activities

Federal Aviation Administration. Air Traffic 101. By: Michael Valencia & Dianna Johnston Date: Feb. 26, 2017

Evaluation of Strategic and Tactical Runway Balancing*

Wake Turbulence Standards

WAKE TURBULENCE SEPARATION MINIMA

ACRP Project Evaluating Airfield Capacity

Automated Integration of Arrival and Departure Schedules

Assignment 2: Runway Length Analysis

USE OF RADAR IN THE APPROACH CONTROL SERVICE

For a 1309 System Approach of the Conflict Management

American Airlines Next Top Model

North End: Runway Configurations at LAX in Arnold Barnett

Course Outline 10/29/ Santa Teresa Blvd Gilroy, CA COURSE: AFT 134 DIVISION: 50 ALSO LISTED AS: SHORT TITLE: AVIATION FLIGHT TECH

A Standard for Equivalent Lateral Spacing Operations Parallel and Reduced Divergence Departures

Outmaneuvered AIRFLOW

SPADE-2 - Supporting Platform for Airport Decision-making and Efficiency Analysis Phase 2

APPENDIX H 2022 BASELINE NOISE EXPOSURE CONTOUR

Assignment 3: Runway Length and EMAS Design. Aircraft Engine Remarks. CFM56-7B20/-7B22/-7B24 developing 20,000 lb of thrust at sea level

National Transportation Safety Board Aviation Accident Final Report

LONG BEACH, CALIFORNIA

Approximate Network Delays Model

Chapter 6. Nonradar. Section 1. General DISTANCE

Air Traffic Control and Runway Separations

A DEPARTURE REGULATOR FOR CLOSELY SPACED PARALLEL RUNWAYS

Transcription:

Time-Space Analysis Airport Runway Capacity Dr. Antonio A. Trani CEE 3604 Introduction to Transportation Engineering Fall 2017 Virginia Tech (A.A. Trani)

Why Time Space Diagrams? To estimate the following: Headway between operations at various transportation facilities Spacing between operations Capacity of transportation systems Determine basic level of service Virginia Tech 2

Sample Time Space Diagrams We examine time space diagram applications for the following systems: a) Rail (done in class) b) Automobile (done in class) c) Airport (air transportation) The rest of the handout applies time-space diagram principles to estimate the capacity of a single runway at an airport. Virginia Tech 3

Factors Affecting Runway Capacity There are numerous factors that affect runway capacity. Here are some of the most relevant: Runway configuration (number of runways in use, location of runway exits, etc.) Aircraft mix (percent of aircraft in various wake vortex categories) Weather conditions (visibility, ceiling, wind direction and speed) Airport equipage (type of navaids, ATC equipment) Operating procedures (noise considerations, special approach and departure procedures) Virginia Tech 4

Sample Use of Technology to Use Multiple Runways Radar surveillance is required at large airports to allow simultaneous use of parallel runways (shown in the Figure) Independent arrival streams Runway 1 Airport Terminal 4,300 ft. or more Runway 2 Virginia Tech 5

Independent Triple and Quadruple Approaches To Parallel Runways (IFR) The idea behind this concept is to allow triple and quadruple parallel approaches to runways separated by 5,000 feet using standard radar systems (scan update rate of 4.8 seconds) at airports having field elevations of less than 1,000 feet Increase to 5,300 ft. spacing between runways for elevations above 5,000 ft. p Runway 1 Runway 2 Runway 3 5,000 ft. or more R 2 Virginia Tech 6

Independent Departures and Standard Radar Simultaneous departures can be conducted if two parallel runways are located 2,500 ft. p Runway 1 2,500 ft. Runway 2 Virginia Tech 7

Independent Departures and Arrivals with Standard Airport Radar Simultaneous departures and arrivals can be conducted if two parallel runways are located 2,500 ft. Departure Stream Runway 1 2,500 ft. Runway 2 Arrival Stream Virginia Tech 8

Time-Space Analysis A simple technique to assess runway and airspace capacity if the headway between aircraft is known The basic idea is to estimate an expected headway, E(h), and then estimate capacity as the inverse of the expected headway Capacity = 1 ----------- Eh ( ) Eh ( ) is expressed in time units (e.g., seconds) Virginia Tech 9

δ ij Time-Space Analysis Nomenclature is the minimum separation matrix (miles). For this class we assume includes air traffic control buffers times. T i is the arrival time (to the runway) of the lead aircraft T j is the arrival time (to the runway) of the following aircraft T ij δ is the headway between two successive aircraft (s) is the minimum arrival-departure separation (miles) Virginia Tech 10

ROT i (s) is the runway occupancy time for aircraft i V i is the speed of aircraft i (lead aircraft) in miles per hour Virginia Tech 11

Time-Space Analysis Nomenclature V j is the trailing aircraft speed (miles per hour) γ is the common approach length (miles). This is the distance outside the runway where aircraft fly a common path aligned with the runway. Virginia Tech 12

Final Approach and Landing Processes Space Runway ROT i TD i ROT j T i T j Time γ V i V j Entry Gate Virginia Tech 13

Possible Outcomes of a Single Runway Time- Space Diagram Since aircraft approaching a runway arrive in a random pattern we distinguish between two possible scenarios: Closing case - Instance when the approach of the lead aircraft is less than that of the trailing aircraft ( ) Opening Case - Instance when the approach speed of lead aircraft is higher than trailing aircraft ( ) V i V i > V j V j Virginia Tech 14

Closing Case (Equations) T ij = T j T i Headway ( ) assuming control is exercised as the lead aircraft passes the entry gate (at a distance ) from the runway is, γ T ij = δ --- ij V j γ NOTE: the distance does not influence the outcome of this analysis because the following aircraft (fast) is closing on the lead vehicle (slow). Virginia Tech 15

Space Closing Case Diagram (Arrivals Only) Runway ROT i ROT j γ 1 V i T i T j δ ij Time V i < V j V j 1 Entry Gate Virginia Tech 16

Headway ( Opening Case (Equations) T ij = T j T i ) is, T ij = δ --- ij + V γ --- 1 V j j 1 --- V i assuming control is exercised as the lead aircraft passes the entry gate. NOTE: The second term in the previous equation measures the time aircraft (i) and (j) space themselves further over a distance γ. This term is important because Virginia Tech 17

Space Opening Case Diagram (Arrivals Only) Runway ROT i ROT j T i T j Time γ 1 V i 1 V j V i > V j δ ij Entry Gate Virginia Tech 18

Mixed Operations (Arrivals/Departures) Space Runway ROT i TD i ROT j T i T 1 T 2 T j δ Time γ V i G V j Entry Gate T 1 = T i + RΟΤ ι T 2 = T j - δ / V j Gap (G) exist if T 2 - T 1 > 0 TD i is the departure runway occupancy time Virginia Tech 19

Latitude (degrees) Atlanta Hartsfield-Jackson Airport 5 Runways 3 Arrival Runways 2 departure Runways Departures Departures Terminals Arrivals Arrivals Arrivals (peak hour) Longitude (degrees) Virginia Tech (A.A. Trani) 19a

Runway Operations at Atlanta Airport Blue = Arrivals Red = Departures Runways Common Approach Path Length (~ 8-10 nm) source of data: Federal Aviation Administration Virginia Tech (A.A. Trani) 19b

Air Traffic Control (ATC) Arrival-Arrival In-Trail Separations Typical In-trail Separations (in nautical miles) near Airport Runways at Large-hub Commercial Airports. Includes Buffers Applied by ATC. Lead Aircraft Trailing Aircraft Heavy Large Small Heavy 5 6 7 Large 3 3 5 Small 3 3 3 Separations are in nautical miles Virginia Tech (A.A. Trani) 20

Air Traffic Control (ATC) Departure- Departure In-Trail Separations Typical In-trail Separations (in seconds) for Departing Aircraft on the same Runway. Includes Buffers Applied by ATC. Lead Aircraft Trailing Aircraft Heavy Large Small Heavy 120 120 120 Large 60 60 60 Small 60 60 60 Separations are in seconds Virginia Tech (A.A. Trani) 21

Aircraft Groups: Who Is Who? Wake Vortex Groups Virginia Tech (A.A. Trani) 21a

Small Aircraft Virginia Tech (A.A. Trani) 21b

Corporate Aircraft Small Large (> 41,000 lb) Virginia Tech (A.A. Trani) 21c

Commuter Passenger Aircraft Small Large (> 41,000 lb) Virginia Tech (A.A. Trani) 21d

Commercial Aircraft (Single-Aisle) All Large (> 41,000 lb) Virginia Tech (A.A. Trani) 21e

Commercial Transport Aircraft (Wide-Body) Virginia Tech (A.A. Trani) 21f

Super-heavy Aircraft Airbus A380 was introduced into service in 2008 A380-800 at LAX Airport (A. Trani) Virginia Tech (A.A. Trani) 21g

Example Problem # 1 Determine the saturation capacity of an airport serving two groups of aircraft: a) heavy (70% of the population) and b) small (30% of the population). Assume the common approach length to be 7 miles. Aircraft Group Runway Occupancy (s) Approach Speed (nautical miles per hour) Heavy 60 150 Small 40 70 Virginia Tech (A.A. Trani) 22

Determine Aircraft Mix and Probabilities The following is a probability matrix establishing the chance that an aircraft of type (i) follows aircraft of type (j). We assume random arrivals. Table 4. Probability Matrix (P ij ). Aircraft (i) follows aircraft (j). Trailing Aircraft Lead Aircraft Heavy Small Heavy =(0.7) x (0.7) = 0.49 = (0.7) x (0.3) = 0.21 Small = (0.3) x (0.7) = 0.21 = (0.3) x (0.3) = 0.09 NOTE: verify that P ij = 1.0 ij, Virginia Tech 23

Compute Headways Between Successive Arrivals Closing case: Lead = small, Following = heavy aircraft 3 = = -------- = 0.02 150 δ T S H S H -------- V H hours Usually is convenient to express headway in seconds. 3 = = -------- 3600 = 72 150 δ T S H S H -------- V H seconds Virginia Tech 24

Compute Headways Between Successive Arrivals Closing case (apply this case when speeds are equal): Lead = small, Following = small aircraft 3 = = ----- 3600 = 154 70 δ T S S S S ------- V S seconds Lead = heavy, Following = heavy aircraft 5 = -------- = -------- 3600 = 120 150 δ T H H H H V H seconds Virginia Tech 25

Compute Headways Between Successive Arrivals Opening case: Lead = heavy, Following = small aircraft δ T H S H S = V S -------- + γ ---- 1 V S 1 ---- V H seconds 7 T H S seconds ----- 1 1 = 3600 + 7 ----- -------- 3600 = 552 70 70 150 Virginia Tech 26

Arrival Aircraft Headway Table The following table summarizes the computed headways for all cases when an aircraft of type (i) follows aircraft of type (j). We assume random arrivals. Table 5. Headways (seconds) when aircraft (i) follows aircraft (j). Trailing Aircraft Lead Aircraft Heavy Small Heavy 120 552 Small 72 154 Virginia Tech 27

Compute Expected Value of Headway The expected value of the headway is: ET ij ( ) = P ij T ij ij, for all i,j pairs ET ( ij ) = P H H T H H + P S H T S H + P H S T H S + P S S T S S ET ( ij ) = 0.49( 120) + 0.21( 72) + 0.21( 552) + 0.09( 154) E( T ij ) = 203.7 seconds Virginia Tech 28

Compute Arrivals-Only Capacity The capacity as the inverse of the expected headway Capacity = 1 ------------- ( ) ET ij vehicles per second ET ( ij ) is expressed in time units (e.g., seconds) Using more standard units of capacity (aircraft per hour), Capacity = 3600 ------------- ( ) ET ij vehicles per hour Virginia Tech 29

Arrivals-Only Capacity For the single runway example the arrivals-only capacity is, 3600 C arrivals = ------------ = 17.7 203.7 aircraft arrivals per hour NOTE: this value is low for a busy airport. At busy airports small aircraft are generally handled at a different runway if possible to improve the capacity of a runway operated by heavy aircraft. Virginia Tech 30

Analysis of Runway Gaps Gaps can be studied for all four possible instances studied so far. For example, if a heavy aircraft is followed by a small one, there is a headway of 552 seconds between two successive arrivals. This leaves a large gap that be exploited by air traffic controllers to handle a few departures on the same runway. The gap for a heavy-small case is, δ = = T S ---- ( T H + ROT H ) G H S T 2 T 1 V S Virginia Tech 31

Gap Analysis Assume the arrival of the heavy aircraft occurs at time t=0 seconds. G H S = 552 2 -----3600 ( 0 + 60) 70 G H S = 389 seconds The expected time between successive departures at this airport is 83 seconds (see Table 2 adjusted by the probability values computed). A gap of 389 seconds is sufficient to launch four departures. You can do the Virginia Tech 32

same analysis for all other instances and estimate the departure capacity of the runway per hour. Gap: Lead aircraft = small, following aircraft = small G S S = 154 2 -----3600 ( 0 + 40) 70 G S S = 11 seconds One departure can be injected when a small aircraft follows another small aircraft. While 11.1 seconds is small gap, the fact is any gap > 0 will in theory result in one departure as long as the pilot responds quickly to ATC commands. Virginia Tech 33

Gap: Lead aircraft = small, following aircraft = heavy G S H = 72 2 --------3600 ( 0 + 40) 150 G S H = 16 seconds No departures can be scheduled when a small aircraft follows a heavy aircraft. Virginia Tech 34

Gap: Lead aircraft = heavy, following aircraft = heavy G H H = 120 2 --------3600 ( 0 + 60) 150 G H H = 12 seconds One departure (on the average) can be scheduled between a heavy aircraft followed by another heavy aircraft. Virginia Tech 35

The analysis of gaps for four arrival instances is presented in Table 6. The number of departures per gap is also presented in Table 6. Table 6. Gaps (seconds) when aircraft (i) follows aircraft (j). Successive departures per gap are shown in parenthesis. Expected value of departure occupancy time is E(TD i ) = 83 seconds). Trailing Aircraft Lead Aircraft Heavy Small Heavy 12 (1) 389 (4) Small -16 (0) 11 (1) Virginia Tech 36

Analysis of Arrival Gaps The final question that needs to be answered is: how many times each gap happens during the period of interest? From our analysis of arrivals only, we determined that on the average hour 17.7 arrivals could be processed at the runway. Since two successive arrivals are needed to form a gap, we can infer that around 16.7 gaps are present in one hour. The probabilty of each one of the four arrival instances is known and has been calculated in Table 4. Thus using these two pieces of information we estimate the number Virginia Tech 37

of times gaps will occur during one hour. Consider a heavy aircraft leading another heavy aircraft. Forty nine percent of the time this instance occurs at the airport. Thus for 16.7 gaps per hour this represents an equivalent number of hourly departures per arrival instance ( ), ED H H ED H H = TG( P H H )( DG H H ) TG P H H where: is the total number of gaps per hour, is the probablity that a heavy aircraft follows another heavy, and DG H H is the number of departures per gap for each instance (numbers in parentheis in Table 6). Virginia Tech 38

ED H H = 16.7( 0.49) ( 1) = 8.18 equivalent departures per hour Similarly, ED H S = 16.7( 0.21) ( 4) = 14.03 ED S H = 16.7( 0.21) ( 0) = 0 ED S S = 16.7( 0.09) ( 1) = 1.50 equivalent departures per hour Virginia Tech 39

Departures with Arrival Priority Table 7 summarizes the number of departures per hour per instance. Table 7. Equivalent departures per hour per arrival instance when aircraft (i) follows aircraft (j). Trailing Aircraft Lead Aircraft Heavy Small Heavy 8.18 14.03 Small 0.00 1.50 Total departures per hour = 23.7 departures per hour Virginia Tech 40

Recapitulation of Results so Far 3600 C arrivals = ------------ = 17.7 203.7 arrivals per hour C departures = 23.7 departures per hour These results indicate that a single runway can process 17.7 arivals per hour and during the same period process 23.7 departures per hour using the gaps formed by the arrivals. Total operations = 41.4 aircraft per hour Virginia Tech 41

Final Note If only departures are processed at this runway (no arrivals), the departures only capacity is the reciprocal of the departure headway (83 seconds), = ----------- = 43.3 83 3600 C dep NA departures per hour Airport engineers use a capacity diagram illusrated in the figure to display all three hourly capacity results in a single diagram. These diagrams represent a Pareto frontier of arrivals and departures. The airport can be operated inside the Pareto boundary. Virginia Tech 42

Arrival-Departure Capacity Diagram Arrivals per Hour 20 10 0 B (23.7,17.7) A (0,17.7) 10 20 30 40 C (43.3,0) Departures per Hour Virginia Tech 43

Interpretation of Arrival-Departure Diagram Line segement A-B represents a region where arrivals are given priority over departures. 17.7 arrivals per hour are processed and up to 23.7 departures per hour. Line segment B-C represents a tradeoff region. Here we increase the separation between successive arrivals to allow more departures. In the limiting case (no arrivals), only departures and processed at a rate of 43.3 per hour. Any operating point inside the Pareto frontier is feasible. Points outside the boundary encompassed by line segments A-B and B-C cannot be sustained for long periods of time. Virginia Tech 44

Example # 2 Charlotte Douglas International airport (CLT) in North Carolina. The airport has a total of 4 runways. Three of them are parallel runways oriented North-South and spaced more than 5,000 feet (see a diagram below) The preferential operational scheme is to use both North-South runways in mixed operations (i.e., arrivals and departures on the same runway) on runways 36R and 36C. Runway 36L is used mainly for arrivals because its location is far away from the terminal buildings. For this analysis assume the crossing runway (labeled 05-23) is not used due to pavement repairs. Virginia Tech (A.A. Trani) 45

CLT Airport Configuration source: Google Earth Virginia Tech (A.A. Trani) 46

CLT Airport Data Virginia Tech (A.A. Trani) 47

Arrivals Only Capacity First do the analysis for one runway Then extend to multiple runways Virginia Tech (A.A. Trani) 48

For a single runway, Arrivals Only Capacity Virginia Tech (A.A. Trani) 49

Departure Capacity (Single Runway) Virginia Tech (A.A. Trani) 50

Mixed Operations Arrivals and departure on the Same Runway Virginia Tech (A.A. Trani) 51

Single Runway Pareto Diagram Virginia Tech (A.A. Trani) 52

Multiple Runway Pareto Diagram Virginia Tech (A.A. Trani) 53