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Simulation and MCDA-based framework for border crossing process design with static and dynamic control of passenger flow

Sawicki Piotr, Sawicka Hanna

Archives of Transport

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2025

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Vol. 73, iss. 1

99--129

EN

This paper presents an approach combining simulation and multi-criteria decision analysis (MCDA) to model and evaluate options for passenger service organisation at a terminal. The methodology is motivated by changes planned by the EU concerning the introduction of the Entry/Exit System (EES) for advanced border control of passengers crossing the Schengen border having an impact on a passenger flow at the Border Crossing Point (BCP). The primary outcome is the selection of a recommended process configuration, including the types and number of servers required to ensure an efficient passenger flow within the BCP, and satisfactory service levels from the passenger's perspective. The authors propose a methodology that relies on a multi-stage and multi-level graph structure of the BCP. It enables the implementation of alternative technological solutions supporting border control, i.e., Manual Border Control (MBC), and automated solutions such as e-Gates (e-Gs) and Self-Service Kiosks (SSKs) to create a complex BCP structure. Unlike traditional approach, in this research both static and dynamic phenomena of traffic flow modeling, allowing for comprehensive control of passenger movement at the BCPs, is proposed. The research integrates traffic control, the composition of technical resources, staffing considerations, and spatial analysis into a single evaluative framework, providing a methodology to find the compromise solution for the process design. It consists of six stages: 1) analysis of the current state, 2) design of process variants and formalisation of evaluation criteria, 3) simulation models development for variants, 4) simulation of the current state and process variants, and analysis of results, 5) selection and application of the decision aiding method to find the compromise variant, and 6) result analysis. The proposed methodology has been applied to redesign the border control process at an airport terminal in the context of new border control procedures. Assuming that 39% of passengers require 10–120% more processing time due to new procedures, the recommended process includes new equipment configuration, increasing the total number of units by two. At the same time, the number of border guards remains unchanged, and the space required for passengers waiting in the queues is reduced by 30%.

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Urbanistyka operacyjna : nowe narzędzia przekształcania miast

Sawicka Dorota, Sawicki Piotr

Przegląd Komunalny

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2023

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nr 2

84--85

PL

Tradycyjnie urbanistykę rozumiemy jako tworzenie planów i strategii, które później działaniami różnych niezależnych podmiotów będą wypełniane. W takim duchu powstają strategie rozwoju, studia uwarunkowań oraz w większości plany miejscowe. Pozwala to konsekwentnie określać cele i wielobranżowe działania dla ich osiągnięcia w dłuższej perspektywie czasowej.

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Application of genetic algorithms in optimization of SFR nuclear reactor design

Żurkowski Wojciech, Sawicki Piotr, Kubiński Wojciech, Darnowski Piotr

Nukleonika

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2021

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Vol. 66, No. 4

139--145

EN

This work presents a demonstrational application of genetic algorithms (GAs) to solve sample optimization problems in the generation IV nuclear reactor core design. The new software was developed implementing novel GAs, and it was applied to show their capabilities by presenting an example solution of two selected problems to check whether GAs can be used successfully in reactor engineering as an optimization tool. The 3600 MWth oxide core, which was based on the OECD/NEA sodium-cooled fast reactor (SFR) benchmark, was used a reference design [1]. The first problem was the optimization of the fuel isotopic inventory in terms of minimizing the volume share of long-lived actinides, while maximizing the effective neutron multiplication factor. The second task was the optimization of the boron shield distribution around the reactor core to minimize the sodium void reactivity effect (SVRE). Neutron transport and fuel depletion simulations were performed using Monte Carlo neutron transport code SERPENT2. The simulation resulted in an optimized fuel mixture composition for the selected parameters, which demonstrates the functionality of the algorithm. The results show the efficiency and universality of GAs in multidimensional optimization problems in nuclear engineering.

4

Combined optimisation and MCDA based solution of the tram depot location problem

Sawicki Piotr, Sawicka Hanna

Archives of Transport

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2021

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Vol. 60, iss. 4

88--103

EN

This paper deals with an issue of technical facilities location in a public transport system. The decision problem is formulated as a selection of the most advantageous alternative, i.e. the location of a new tram depot among the already existing facilities of this type. The selection is preceded by the evaluation of the alternatives. The assessment is not a trivial task, because there are many groups of interest with usually contradictory points of view. Therefore, the evaluation of the new tram depot locations should represent different aspects, e.g., economical, technical, environmental, and organizational. To handle such a complex decision problem the authors propose a methodology, which is a composition of the optimisation and multiple criteria evaluation techniques. The developed methodology is experimentally applied to the selection of one out of five tram depot locations in the public transport system of the city of Poznan, Poland. All the computational experiments are performed by means of optimization and multiple criteria decision aiding (MCDA) methods and tools, i.e. a linear optimization engine Solver Premium Platform and AHP method with its application AHORNsimple. The calculations are the basis for recommending the location of a new depot in the central part of the transport system network, which is a reasonable solution taking into account, e.g. the proximity of the main railway line, the possibility of triple distribution of the transport means from depot. The proposed methodology of the decision problem solution gives also an opportunity to create the hierarchy of considered tram depot locations as well as to compare the position in the ranking of the best solution with the existing one. Since the proposed methodology assumes the selection of the most suitable MCDA method to the problem under consideration and the decision maker’s preferences, it guarantees that the result of analysis becomes reliable and the decision aiding process is credible.