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Research on Parking Choice Model Based on Shared Private Parking Space

机译:基于共享私人停车位的停车选择模型研究

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As the number of vehicles increases, the problem of parking has become more and more highlighted. This paper proposes the practice of sharing private parking space when not in use, to meet the ever-increasing parking demand through maximizing utilization of private parking lots. Optimal route and optimal parking location are two main focuses in this study on private parking sharing selection. Optimal route is a decision-making process based on the shortest travel time, using improved ant colony optimization algorithms to determine the route and travel time from travel origin to a shared private parking space, and to prepare for the quantification of the evaluation index for travel time in the shared parking space choice model, which first determines the quantified evaluation indexes according to the factors of interest when a person chooses a private parking space. Optimal parking location is determined by factoring in all the evaluation indexes and using the weighted TOPSIS model.
机译:随着车辆数量的增加,停车问题变得越来越突出。本文提出了在不使用时共享私人停车位的实践,通过最大限度地利用私人停车场来满足不断增长的停车需求。最优路线和最优停车位置是本研究中私人停车共享选择的两个主要重点。最佳路线是基于最短旅行时间的决策过程,它使用改进的蚁群优化算法来确定从旅行起点到共享私人停车位的路线和旅行时间,并为量化旅行评价指标做准备共享停车位选择模型中的时间,该模型首先根据人们选择私人停车位时的关注因素确定量化的评估指标。通过考虑所有评估指标并使用加权TOPSIS模型确定最佳停车位置。

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