AN OPTIMIZING PLACEMENT OF PASSING PLACES FOR 1.5 LANES ROAD WITH GENETIC ALGORITHM AND MULTI-OBJECTIVE OPTIMIZATION

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  • 1.5車線的道路における待避区間の最適配置に向けた遺伝的アルゴリズム及び多目的最適化の適用

Abstract

 In mountainous areas, it is available to construct roads of 1.5 lanes which are flexible combinations of local improvements in recent years. In construction works, 1.5 lanes are effective for temporary traffic increase of large-size vehicles. In order to appropriately and inexpensively arrange passing places, it takes trial and error by traffic simulations. Therefore, we previously developed fast evaluation method that can take probabilistic arrival interval of vehicles, as an alternative to traffic simulations. In this paper, we considered placement plan for passing places as a minimization problem of widening costs, and applied GA(Genetic Algorithm) with proposed evaluation method. As a result, in comparison with the conventional method by manual operation, it was possible to obtain an effective solution that drastically shortened the operation time from 8 hours to 4 minutes, and also reduced both the widening costs and the average waiting time. In addition, using multi-objective optimization, trade-off relationship between the widening costs and the average waiting time was clarified.

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