A case study is also conducted to demonstrate the effectiveness of the proposed method and algorithm.
A genetic simulated annealing algorithm is proposed to solve the optimization problem in the second stage and the results are compared to those from the genetic algorithm. The last stage further adjusts and optimizes the refueling station plan generated by the first two stages. The second stage focuses on adding additional refueling stations to serve vehicles whose demands are not directly satisfied by the refueling stations identified in the first stage. The first stage aims at identifying the most frequently traveled road segments for siting refueling stations. The main objective of the method is to minimize refueling vehicles’ detour time.
This paper analyzes the impact factors and principles of siting urban refueling stations and proposes a three-stage method.
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