Next Article in Journal
The Effects of Knowledge Assets and Path Dependence in Innovations on Firm Value in the Korean Semiconductor Industry
Previous Article in Journal
Birds of a Feather Fare Less Well Together: Modeling Predictors of International Student Adaptation
Article

Multi-Objective Optimal Allocation of Wireless Bus Charging Stations Considering Costs and the Environmental Impact

by 1,2 and 2,*
1
Faculty of Economics, The Economics and Logistics Track, Ashkelon Academic College, Ashkelon 78211, Israel
2
Department of Management, Faculty of Social Sciences, Bar-Ilan University, Ramat Gan 5290002, Israel
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(6), 2318; https://0-doi-org.brum.beds.ac.uk/10.3390/su12062318
Received: 12 February 2020 / Revised: 13 March 2020 / Accepted: 13 March 2020 / Published: 16 March 2020
(This article belongs to the Section Sustainable Transportation)
In recent years, due to environmental concerns, there has been an increasing desire to develop alternative solutions to traditional energy sources. Since transportation is a significant fossil-fuel consumer, the development of electric vehicles, especially buses, has the potential to reduce fossil-fuel use and thus provide a better living environment. The aim of the current work was to develop an optimal allocation model for designing a system-wide network of wireless bus charging stations. The main advantages of wireless charging are the need for a much smaller battery and the fact that the charging process may occur under both static and dynamic (in-motion) conditions. The suggested approach consisted of a multi-objective model that selected the locations for the charging stations while (a) minimizing the costs, (b) maximizing the environmental benefit, and (c) minimizing the number of charging stations. The problem was formulated as a multi-objective non-linear optimization model with both deterministic and stochastic variations. An efficient genetic algorithm was introduced to solve the problem. A test case was used to demonstrate the model; accordingly, the decision-maker was provided with a solution set from which the best fit solution could be selected. View Full-Text
Keywords: electric buses; wireless charging; network design; multi-objective optimization electric buses; wireless charging; network design; multi-objective optimization
Show Figures

Figure 1

MDPI and ACS Style

Nahum, O.E.; Hadas, Y. Multi-Objective Optimal Allocation of Wireless Bus Charging Stations Considering Costs and the Environmental Impact. Sustainability 2020, 12, 2318. https://0-doi-org.brum.beds.ac.uk/10.3390/su12062318

AMA Style

Nahum OE, Hadas Y. Multi-Objective Optimal Allocation of Wireless Bus Charging Stations Considering Costs and the Environmental Impact. Sustainability. 2020; 12(6):2318. https://0-doi-org.brum.beds.ac.uk/10.3390/su12062318

Chicago/Turabian Style

Nahum, Oren E., and Yuval Hadas. 2020. "Multi-Objective Optimal Allocation of Wireless Bus Charging Stations Considering Costs and the Environmental Impact" Sustainability 12, no. 6: 2318. https://0-doi-org.brum.beds.ac.uk/10.3390/su12062318

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop