Building an improved optimisation module based on advanced optimisation algorithms, including artificial intelligence, for the optimisation of vehicle sharing fleet management. (Q78437): Difference between revisions

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(‎Removed claim: summary (P836): The aim of this project is to create an improved optimisation module based on advanced optimisation algorithms, with a focus on the latest developments in Artificial Intelligence, which will allow fleet management by vehicle sharing to efficiently optimise fleet management.Fleet management in a vehicle sharing system mainly consists of strategic decisions on the size of the fleet, the designation/modification of the zone or location of base st...)
Property / summary
The aim of this project is to create an improved optimisation module based on advanced optimisation algorithms, with a focus on the latest developments in Artificial Intelligence, which will allow fleet management by vehicle sharing to efficiently optimise fleet management.Fleet management in a vehicle sharing system mainly consists of strategic decisions on the size of the fleet, the designation/modification of the zone or location of base stations, and the operational decisions on the servicing and the relocation of vehicles.These decisions are mostly taken by people assisted by simple systems of analysis and data visualisation.The complexity of the problem and the lack of sophisticated tools are often not optimal and the potential of the system is not fully exploited.The project will carry out research and development and pre-implementation work divided into 5 phases:1.The development of a research environment enabling the efficient processing of data, the creation of a set of training data.2.Develop new optimisation algorithms.3.Defining the optimal method for the parallel execution of the developed algorithms 4.Construction of a prototype optimisation module, integration with Optimal and tests.5.Preparing the results of the project to be implemented on international markets.The implementation of the work will allow the creation of an optimisation module, integrating it into the other elements of the platform.As a result, the whole will reach level 9 on the scale of technology development.The finished product will be sent to vehicle sharing vehicles, with a focus on car sharing.As a first step, the product will be implemented in Poland with the operator EasyShare which has decided to implement and test the Opimali platform.We will go on to go to the biggest European markets:Germany, France, Spain. (English)
 
Property / summary: The aim of this project is to create an improved optimisation module based on advanced optimisation algorithms, with a focus on the latest developments in Artificial Intelligence, which will allow fleet management by vehicle sharing to efficiently optimise fleet management.Fleet management in a vehicle sharing system mainly consists of strategic decisions on the size of the fleet, the designation/modification of the zone or location of base stations, and the operational decisions on the servicing and the relocation of vehicles.These decisions are mostly taken by people assisted by simple systems of analysis and data visualisation.The complexity of the problem and the lack of sophisticated tools are often not optimal and the potential of the system is not fully exploited.The project will carry out research and development and pre-implementation work divided into 5 phases:1.The development of a research environment enabling the efficient processing of data, the creation of a set of training data.2.Develop new optimisation algorithms.3.Defining the optimal method for the parallel execution of the developed algorithms 4.Construction of a prototype optimisation module, integration with Optimal and tests.5.Preparing the results of the project to be implemented on international markets.The implementation of the work will allow the creation of an optimisation module, integrating it into the other elements of the platform.As a result, the whole will reach level 9 on the scale of technology development.The finished product will be sent to vehicle sharing vehicles, with a focus on car sharing.As a first step, the product will be implemented in Poland with the operator EasyShare which has decided to implement and test the Opimali platform.We will go on to go to the biggest European markets:Germany, France, Spain. (English) / rank
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Revision as of 12:18, 14 October 2020

Project in Poland financed by DG Regio
Language Label Description Also known as
English
Building an improved optimisation module based on advanced optimisation algorithms, including artificial intelligence, for the optimisation of vehicle sharing fleet management.
Project in Poland financed by DG Regio

    Statements

    country
    Poland
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    EU contribution
    1,847,658.5 zloty
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    443,438.04 Euro
    exchange rate to Euro
    0.24 Euro
    point in time
    13 January 2020
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    budget
    2,450,430.0 zloty
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    588,103.2 Euro
    exchange rate to Euro
    0.24 Euro
    point in time
    13 January 2020
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    co-financing rate
    75.4 percent
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    start time
    1 April 2019
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    end time
    31 March 2021
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    beneficiary name (string)
    OPTIMALI SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
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    beneficiary
    Q2510306
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    coordinate location

    51°57'29.2"N, 20°8'41.6"E
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    summary
    Celem przedmiotowego projektu jest stworzenie ulepszonego modułu optymalizacyjnego opartego na zaawansowanych algorytmach optymalizacyjnych ze szczególnym uwzględnieniem najnowszych osiągnięć w dziedzinie sztucznej inteligencji, który pozwoli na efektywną optymalizację zarządzania flotą przez operatorów vehicle sharingu. Zarządzanie flotą w systemie vehicle sharing obejmuje głównie decyzje strategiczne dotyczące wielkości floty, wyznaczenia/zmiany strefy lub lokalizacji stacji bazowych oraz decyzje operacyjne dotyczące serwisu oraz relokacji pojazdów. Decyzje te podejmowane są najczęściej przez człowieka wspomaganego przez proste systemy analizy oraz wizualizacji danych. Złożoność problemu oraz brak zaawansowanych narzędzi powoduje, że często nie są to decyzje optymalne a potencjał systemu nie jest w pełni wykorzystany. W ramach projektu zostaną przeprowadzone prace badawczo-rozwojowe oraz przedwdrożeniowe podzielone na 5 etapów: 1. Przygotowanie środowiska badawczego umożliwiającego efektywne przetwarzanie danych, stworzenie zbioru danych treningowych. 2. Opracowanie nowych algorytmów optymalizacyjnych. 3. Zdefiniowanie optymalnej metody równoległego wykonywania opracowanych algorytmów 4. Budowa prototypu modułu optymalizacyjnego, integracja z systemem Optimali i testy. 5. Przygotowanie wyników projektu do wdrożenia na rynkach międzynarodowych. Realizacja prac pozwoli stworzenie modułu optymalizacyjnego, zintegrowanie go z pozostałymi elementami platformy. Dzięki czemu całość osiągnie poziom 9 w skali rozwoju technologii. Gotowy produkt zostanie skierowany do operatorów vehicle sharingowych, z naciskiem na car sharing. W pierwszej kolejności product zostanie wdrożony w Polsce u operatora EasyShare, który zdecyował się wdrożyć i przetestować platformę Optimali. W dalszej kolejności wejdziemy na największe rynki europejskie, tj. Niemcy, Francja, Hiszpania. (Polish)
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    Identifiers

    Polish Kohesio ID
    POIR.01.01.01-00-0882/18
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