基于android导航的路线引导系统,确定土豆配送的最短路线

R. Yusianto, Marimin Marimin, Suprihatin, H. Hardjomidjojo
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引用次数: 2

摘要

目前,收获后损失是一个越来越有趣的问题。当农民使用了优质的种子,改进了农场处理和先进的收获技术后,研究人员开始关注收获后的问题。在印度尼西亚,马铃薯收获后损失高达每吨32.8公斤。运输配送问题的影响为20.43%。本研究的贡献是基于android的基于导航半径的高级导航系统,用于路线引导系统(RGS)。我们使用Dijkstra算法结合基于纬度和经度的动态地图,使用谷歌api服务器来确定最短的土豆分配路线。为了优化导航半径的距离,我们在动态坐标上使用了弧度法。我们计算的路线是导航半径内的所有节点。我们可以使用嵌入到应用程序中的谷歌Maps片段活动显示某个半径范围内的分销中心(DC),并导航到该位置。因此,这种方法使决策者更容易通过最短的路线分发土豆。我们提出的基于android导航的RGS在移动应用上实现,并与经典的Dijkstra算法进行了比较。结果表明,该导航系统性能更好、更可靠,准确率达99.83%。这证明了我们开发的基于android的导航系统是可以使用的。对于未来的研究,需要考虑空间分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Route Guidance System using Android-Based Navigation to Determine the Shortest Potatoes Distribution Route
At present, post-harvest loss is an increasingly interesting issue. When farmers have used quality seeds, improved on-farm handling and advanced harvesting technology, the researchers began to focus on post-harvest problems. In Indonesia, the potatoes post-harvest loss is high at 32.8 kg/ton. Transportation and distribution problems have an effect of 20.43%. The contribution of this research is an Android-based advanced navigation system based on navigation radius for the route guidance system (RGS). We used the Dijkstra algorithm which we combined with latitude and longitude-based dynamic maps using Google APIs server for determining the shortest potatoes distribution route. To optimize the distance of the navigation radius, we used the radians approach on dynamic coordinates. The route that we calculated was all the nodes that were in the navigation radius. We can display distribution centers (DC) at a certain radius with the Google Maps fragment activity that embedded into the application and navigate to that place. So this method made it easy for decision makers to distribute their potatoes via the shortest route. The RGS using an android-based navigation that we proposed was implemented on a mobile application, and a comparison with the classical Dijkstra algorithm was performed. The results showed that this navigation system was better, more reliable with an accuracy rate of 99.83%. This proved that the android-based navigation system that we developed can be used. For future research, spatial analysis needs to be considered.
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