KPIs for optimal location of charging stations for electric vehicles: the Biella case-study

• Autorzy: Fadda Edoardo , Manerba Daniele , Cabodi Gianpiero , Camurati Paolo , Tadei Roberto

Identyfikatory

DOI

10.15439/2019F171

• Konferencja: Federated Conference on Computer Science and Information Systems (14 ; 01-04.09.2019 ; Leipzig, Germany)
• Języki publikacji: EN

Abstrakty

EN

Electric vehicles are accelerating the world's transition to sustainable energy. Nevertheless, the lack of a proper charging station infrastructure in many real implementations still represents an obstacle for the spread of such a technology. In this paper, we present a real case application of optimization techniques in order to solve the location problem of electric charging stations in the district of Biella, Italy. The plan is composed by several progressive installations and decision makers pursue several objectives that might be in contrast. For this reason, we present an innovative framework based on the comparison of several ad-hoc Key Performance Indicators for evaluating many different aspects of a location solution.

Słowa kluczowe

EN

electric vehicle charging; electric vehicle; key performance indicator

PL

ładowanie pojazdów elektrycznych; pojazd elektryczny; kluczowy wskaźnik wydajności

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2019
• Tom: Vol. 18
• Strony: 123--126
• Opis fizyczny: Bibliogr. 6 poz., wz., rys., tab.

Twórcy

autor

Fadda Edoardo

• Department of Control and Computer Engineering, Politecnico di Torino Corso Duca degli Abruzzi, 24 - I-10129 Turin, Italy

autor

Manerba Daniele

• Department of Control and Computer Engineering, Politecnico di Torino Corso Duca degli Abruzzi, 24 - I-10129 Turin, Italy

autor

Cabodi Gianpiero

• Department of Control and Computer Engineering, Politecnico di Torino Corso Duca degli Abruzzi, 24 - I-10129 Turin, Italy

autor

Camurati Paolo

• Department of Control and Computer Engineering, Politecnico di Torino Corso Duca degli Abruzzi, 24 - I-10129 Turin, Italy

autor

Tadei Roberto

• Department of Control and Computer Engineering, Politecnico di Torino Corso Duca degli Abruzzi, 24 - I-10129 Turin, Italy

Bibliografia

• 1. I. Frade, A. Ribeiro, G. Goncalves, and A. Pais Antunes, “Optimal location of charging stations for electric vehicles in a neighborhood in lisbon, portugal,” Transportation Research Record: Journal of the Transportation Research Board, vol. 2252, pp. 91–98, 2011.
• 2. A. Quiliot and A. Sarbinowski, “Facility location models for vehicle sharing systems,” Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, vol. 8, pp. 605–608, 2016.
• 3. H. A. Eiselt and C. L. Sandblom, Decision Analysis, Location Models, and Scheduling Problems. Springer-Verlag Berlin Heidelberg, 2004.
• 4. W. Hansen, “How accessibility shapes land use,” Journal of the American Institute of Planners, vol. 25, pp. 73–76, 1959.
• 5. R. Tadei, N. Ricciardi, and G. Perboli, “The stochastic p-median problem with unknown cost probability distribution,” Operations Research Letters, vol. 37, pp. 135–141, 2009.
• 6. E. Fadda, L. Fotio Tiotsop, D. Manerba, and R. Tadei, “The stochastic multi-path traveling salesman problem with dependent random travel costs,” Transportation Science (submitted), 2019.

Uwagi

1. Track 1: Artificial Intelligence and Applications

2. Technical Session: 12th International Workshop on Computational Optimization

3. Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).