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Discovering an optimal route to the most feasible parking lot has been amatter of concern for any driver which aggravates further during peak hours ofthe day and at congested places leading to considerable wastage of time andfuel. This paper proposes a Bayesian hierarchical technique for obtaining themost optimal route to a parking lot. The route selection is based onconflicting objectives and hence the problem belongs to the domain ofmulti-objective optimization. A probabilistic data driven method has been usedto overcome the inherent problem of weight selection in the popular weightedsum technique. The weights of these conflicting objectives have been refinedusing a Bayesian hierarchical model based on Multinomial and Dirichlet prior.Genetic algorithm has been used to obtain optimal solutions. Simulated data hasbeen used to obtain routes which are in close agreement with real lifesituations.

Bayesian Hierarchical Multi-Objective Optimization for Vehicle Parking Route Discovery