Implementing Dynamic Air Transport Slot Trading Through Secure Auction Mechanism
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Implementing Dynamic Air Transport Slot Trading Through Secure Auction Mechanism

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Implementing Dynamic Air Transport Slot Trading Through Secure Auction Mechanism




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Presentation on theme: "Implementing Dynamic Air Transport Slot Trading Through Secure Auction Mechanism"— Presentation transcript:

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Implementing Dynamic Air Transport Slot Trading Through Secure Auction Mechanism

Emre Koyuncu, Baris Baspinar, Guney Guner,N. Kemal Üre, Massimiliano Zanin, Vaishali Mirchandani, Emilio Alvarez Pereira and Gokhan Inalhan

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Simulation Models for Results for Business Cases

We have developed simulation models for

Slot Trading and Dynamical Landing

Queues

a

nd

Analysis of Delay Reports

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Data Library

The test data for the simulations is created through real traffic dataAvailable datasets for modeling ALLFT+ data in DDR2 of EUROCONTROLCapacity reports in DDR2 of

EUROCONTROLComplete through statistical analyses

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Slot Trading and Dynamical Landing Queues

Primary

market:

Slots are sold by airports to airlines.

Secondary market:

Slot trading occurs between airlines.

Strategic:

Slots are sold for

some

period.

planned auctions.

Operational

:

slot trade occurs during

tactical

operation.

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Slot Trading and Dynamical Landing Queues

Scenario 1:

N airlines try to buy slots from an airport.

Strategic

and primary market

.

Scenario 2:

N airlines try to buy slots from another

airline. Strategic

and secondary market.

Scenario

3:

N airlines try to buy a priority approach from an

airport. Operational market

.

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Simulation Model for

Slot

Trading and Dynamical Landing Queues

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Scenario 1 for

Slot

Trading and Dynamical Landing Queues

Scenario 1:

N airlines try to buy slots from an airport.

Strategic

and primary market

.

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Scenario 1 for

Slot

Trading and Dynamical Landing Queues

Slot Allocation Model (SAM)

Based on

data

driven ATM Queuing Model

Data driven slot allocation

through EUROCONTROL DDR2 ALLFT

+

data

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Slot Interest Decision Maker (SID)

Slot Interest Decision Maker (SID) adds competition by adding random factor in slot demand.Competition begins when at least two airlines want to get same slot.

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Scenario 1 for

Slot

Trading and Dynamical Landing Queues

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Number Of SMC Server

Participant who wants to sell his slot

Number Of SMC Server

Participant who wants to sell his slot

Web based SMC simulation portal for the participants

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Application Selection Menu

Display Results

Creates a new event in order to gathering data from participants

Start Secure Computing

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Scenario 2 for

Slot

Trading and Dynamical Landing Queues

Scenario 2:

N airlines try to buy slots from another airline. Strategic and secondary market.

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Scenario 2 for

Slot

Trading and Dynamical Landing Queues

Slot Interest Decision (SIM) Model

hypothetically generates a

market and

creates

traders by utilizing flight frequencies

using ALLFT+ data

The idea behind the concept model is that

airlines are interested in selling non-scheduled or least frequently used slots

airlines are interested in buying the slots around their most frequently used slots

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Scenario 2 for

Slot

Trading and Dynamical Landing Queues

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Web Based Simulation Portal for

Slot

Trading and Dynamical Landing Queues

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Scenario 3 for

Slot

Trading and Dynamical Landing Queues

Scenario 3:

airlines

try to buy a priority approach from an airport. Operational market.

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Scenario 3 for

Slot

Trading and Dynamical Landing Queues

Slot Interest Decision (SIM) Model

Evaluate

en-route delays for each landing aircraft.

If

it is more than 30 minutes, airline is interested in buying a priority slot.

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SMC Bid comparison

SMC Engine collects offers. If the result is a tie between two or more participants, the referee provides a notification to the participants and creates a new secure auction. If the minimum price that the seller asks for has not been reached, participants are informed about this.Winning

price and the winner

is disclosed to all participants

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Web Based Simulation Portal for

Slot

Trading and Dynamical Landing Queues

example logs

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Pricing policy

For Scenario 1, the price for slots is based on demand intensity where the more demand, the higher the minimum price will be for a specific flight hour. The minimum and the maximum

values of a particular airport are based

on the maximum demandbusiest airport is most expensive

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Pricing policy

For Scenario 2, slot pricing for airline slot swapping is dependent on their frequency of flight and the demand intensity at the requested slot hours.

For Scenario 3, the

min price of priority landing slots is a fixed flat rate (for a specific airport for a specific day)

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Conclusions

Slot

Trading and Dynamical Landing Queues

P

rimary

and secondary markets including real-time (priority landing) for slot trade have been simulated through the Secure Multiparty Computation (SMC) library.

Considering

the needs of such trade, a web-based Simulation Portal has been developed, enabling referee and participants to manage each type of trade operations,

logging

into the system,

putting

slot into market,

bidding

for slots, etc.

Through the batch simulations, we

have demonstrated the feasibility of such business for slot trade.

In

addition to secure information sharing through the SMC tools, structuring highly dynamic market adds benefits to the airlines, allowing to make their operations more flexible according to the current needs.

To

assess the advantage of this business model, one can run these simulations through the real commercial interests, which is not open to others.

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