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Using a GIS-based, Hitchcock algorithm to optimize parking allocations for special events

机译:使用基于GIS的Hitchcock算法来优化特殊事件的停车分配

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Clemson, a small college town in South Carolina, deals with a massive over-saturation of its transportation system during special events, especially during home football games, resulting in total system failure. This research has developed a methodology to optimize parking, using a Geographic Information System (GIS)-based transshipment algorithm, and it has produced great time savings compared with the individual, “manual” efforts of thousands of drivers attempting to find spaces where available. As such, this research constitutes an effective implementation of the Hitchcock Transportation Algorithm for solving a transshipment problem applied to parking lot distribution. Because the Hitchcock Algorithm considers the network cost for distributions, it gives very realistic solutions, and so a system equilibrium that minimizes overall system delay has been achieved through optimal parking assignment combined with pre- and post-game traffic control strategies. This has been validated using a simulation model that was developed for evaluating the strategies.
机译:克莱姆森(Clemson)是南卡罗来纳州的一个大学城,在特殊事件期间,尤其是在主场橄榄球比赛期间,其交通系统严重饱和,导致整个系统故障。这项研究已经开发出了一种基于基于地理信息系统(GIS)的转运算法来优化停车位的方法,与成千上万试图寻找可用空间的驾驶员的“手动”努力相比,它节省了大量时间。这样,这项研究构成了希区柯克运输算法的有效实现,用于解决应用于停车场分配的转运问题。由于Hitchcock算法考虑了分配的网络成本,因此提供了非常现实的解决方案,因此,通过最佳停车分配以及赛前和赛后交通控制策略,已实现了使整体系统延迟最小的系统平衡。这已使用为评估策略而开发的仿真模型进行了验证。

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