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由于城市化的发展,区域建设的多样化,人们出行的区域建筑物群同时具备多种功能。由于建筑物功能的不同,人们活动的时间和区域也有较大不同,因此产生了停车泊位共享理论。本文基于停车泊位共享理论,分析了停车引导系统流程和现有PGIS模型,加入泊位共享模型的因素,对PGIS模型中的停车场选择权重系数采用粒子群算法方式进行修正,对引导系统进行泊位共享的优化。
Due to the development of urbanization and the diversification of regional construction, the group of regional buildings traveling by people has multiple functions at the same time. Due to the different functions of the buildings, the time and area of people’s activities are also quite different. Therefore, a parking-sharing theory has been produced. Based on the parking berth sharing theory, this paper analyzes the flow of parking guidance system and the existing PGIS model, the factors of joining the berth sharing model, the modification of parking lot selection weighting coefficient in PGIS model by means of particle swarm optimization, and the guidance system berth sharing Optimization.