Zilina , 22-24.11.04

Aena

LEONARDO

Zilina, 23.11.04

Zilina, 22-24.11.04

How to improve Airport Efficiency by means of

CDM: LEONARDOLinking Existing ON ground, ARrival and

Departure Operations

Patricia [email protected]

Maria [email protected]

Zilina, 23.11.04

LEONARDO

Contents

Scope & ApproachThe SystemTrials results

Arrival predictability Off-Block predictabilityDeparture predictabilityCFMU slot predictability

Conclusions

Zilina, 23.11.04

LEONARDO

Scope of LEONARDOProblem: Lack of efficiency

Individual optimisation of airport processes

Existing information not available for all actors

Solution: Integrate existing planning tools for:Arrival managementDeparture managementGround operations

management

INTEGRATION LAYER

AIRLINES

AIRPORT OPERATIONS

ARRIVAL PROCESS

FLOW CONTROL

DEPARTURE PROCESS

GMC GATEALLOCATION

Zilina, 23.11.04

LEONARDO

LEONARDO Approach 3 different levels of integration

Information sharing Cooperation - Improvements in

planning estimates Negotiation among actors

2 different validation techniques Shadow mode trials Real time simulations

2 different testing airports Barajas Charles de Gaulle

Zilina, 23.11.04

LEONARDO

The System

AMAN

DMAN

SMAN

CDMManager

CONOPER

MVT messagesACARS 3OI

ATC Airport Authorities

IBERIA

SACTA

AMAN

DMAN

SMAN

CDM MANAGER

PARKING MANAGER

TURN-AROUNDMANAGERACARS INFO

AIRPORT AUTHORITY

AIRLINE

INTEGRATED PLANNING

RADAR TRACKSFLIGHT PLAN

ATC

External Information External Information SourcesSources

Zilina, 23.11.04

LEONARDO

Human-Machine Interface

Zilina, 23.11.04

LEONARDO

Arrival Estimates

SLDT

ELDT

SIBT

EIBTTaxitime

MIBT

AMAN SMAN CDM

LEONARDO

MLDT

ACARS

ALDT AIBT

Zilina, 23.11.04

LEONARDO

In-Block Predictability

MIN

UTE

S

Average |EIBT airport - AIBT|

Average |EIBT airline - AIBT|Average |MIBT - AIBT|

Deicing Area

G9

G6G17

G18G19

G3

G1

G18

TWRTWR

G1 G3 G6 G9 G14 G17 G18 G19 TOTAL

12:58

10:05

11:31

0:00

8:38

5:46

4:19

2:53

7:12

1:26

MIB

T M

ean

Abs

olut

e Er

ror

G14

36L

33

Zilina, 23.11.04

LEONARDO

Turn Around Estimates

TOBT

Turn-Around Time

CDM Airline

LEONARDO

MIBT

ACARS

AIBT

ATOT

SOBT

EOBT

Zilina, 23.11.04

LEONARDO

Off-block predictability Better In-block time prediction, thus better TOBT prediction

Improvement of TOBT Predictability due to the info shared by the airlines with the CDM system. 24 % error decrease when considering delay messages

from the airline

TOBT Mean Absolute Error. Flights with late arrival.

0:00:00

0:10:00

0:20:01

0:30:01

0:00:00 0:05:00 0:10:00 0:15:00 0:20:00 0:25:00 0:30:00

EARLINESS WITH RESPECT TO THE START-UP CLEARANCE

ATC

CDM

MIN

UTE

S

50 % error decrease when considering impact of late arrivals in departure flights

Zilina, 23.11.04

LEONARDO

Departure Estimates

SOBT

EOBT

STOT

ETOTTaxitime

MTOT

CDM SMAN DMAN

LEONARDO

TOBT

ACARS

AOBT ATOT

Zilina, 23.11.04

LEONARDO

Take-Off predictability

Improvement of ETOT Predictability due to a better TOBT and taxiing time.

DMAN calculates the optimum departure sequence: MTOT

ERROR AS A FUNCTION OF % EGOP

Zilina, 23.11.04

LEONARDO

Probability of slot alarm to be reliable

Statistical simulation of the Alarm prediction based on taxiing time distribution

Measurement of discrepancies between simulated alarms and slot compliance

Event of analysis Missing Alarms Wrong Alarms Correct Alarms Start-up Time 5.3% 10.8% 83.9%

Off-Block Time 2.9% 2.4% 94.7%

Zilina, 23.11.04

LEONARDO

LEONARDO Results

In-block Predictability

R2 = 0,6127

R2 = 0,8057

R2 = 0.7326

0:00:00

0:10:00

0:20:01

0:30:01

EARLINESS WITH RESPECT TO THE START-UP CLEARANCE

TIME

Average |TOBT-AOBT| Average |EOBT-AOBT| Lineal (Average |EOBT-AOBT|) Potencial (Average |EOBT-AOBT|) Lineal (Average |TOBT-AOBT|)

CDM has positive effect on efficiency,

further improvement possible

Off-block Predictability

Up to 80% improvement Up to 50% improvement

0

5

10

15

20

25

30

0 5 10 15 20 25 30 35 40 45 50 55 60

ETOT-ATC & Airline

MTOT-DMAN

MTOT-CDM

(only flights on time)

Take-off Predictability

Up to 50% improvement

Zilina, 23.11.04

LEONARDO

Leonardo Conclusion

CDM makes senseExperiments in the three sites confirm us the same tendency:

Improvement in predictability of operations Better management of existing resources (stands, handling equipment, runway)Improvement of decision-making processes

The R&D results are available and stakeholders should use them:

http://leonardo.aena.es

Zilina, 23.11.04

LEONARDO

Future Work Implement collaborative

processes with CFMU

Inclusion of actors priorities and negotiation

Creation of a network: integrate tools at origin and destination airports

CFMU

Zilina, 23.11.04

LEONARDO

THANK YOU FOR YOUR ATTENTION