Parking recommendation with meta-heuristic algorithms

HIGHLIGHTS

  • What: The aims of these algorithms include minimizing travel distance reducing total parking fees and selecting parking lots with ample available spaces. To solve the problem that drivers cannot find an available parking space within a short amount of time, the authors propose a parking recommendation model that will provide the drivers with effective parking guidance. In the adaptive version of the Genetic Algorithm (GA), the authors implement a sophisticated adaptive approach to mutation probability.
  • Who: Siyuan, Wu and Tingting, Yang from the Pomfret School, Pomfret, United States of America have published the research: Parking . . .

     

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