Mathematical Institute of the Serbian Academy of Sciences and Arts
|Title:||Determining the Optimal Route of Electric Vehicle using a Hybrid Algorithm based on Fuzzy Dynamic Programming||Journal:||IEEE Transactions on Fuzzy Systems||Volume:||31||Issue:||2||Issue Date:||2023||Rank:||~M21a||ISSN:||1063-6706||DOI:||10.1109/TFUZZ.2022.3205045||Abstract:||
In this work, a new method for identifying the optimal route of electric vehicles based on a hybrid model is offered. A combination of analytical hierarchical method and fuzzy dynamic programming was used to create the hybrid model. The model designed in this manner allows each user of an electric vehicle to decide the ideal route based on their needs. The case study was created using actual data from the city of Nis. The scenarios for two electric vehicle users for the schedule of charging stations and routes for the city of Nis with pre-defined values of travel time, charging time, and the attractiveness of the location are analyzed. Based on the acquired findings, all of the suggested model's advantages can be seen, which are principally reflected in bringing electric vehicle users to the forefront, i.e., harmonizing electric vehicle users' needs on the one hand and travel length and charging time at charging stations on the other.
|Keywords:||AHP | Charging stations | Climate change | Dynamic programming | Electric vehicle routing problem | fuzzy dynamic programming | fuzzy numbers | Heuristic algorithms | hybrid algorithm | Metaheuristics | multi-criteria decision making | Routing | Transportation||Publisher:||IEEE|
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