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首页> 外文期刊>IOSR journal of computer engineering >Public conveyance system for shortest path nding for real road network
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Public conveyance system for shortest path nding for real road network

机译:真正道路网最短路径的公共交通系统

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摘要

This article analyzes problems of determining the shortest path and optimal route amongst the given stoppages. The model of the problem is presented as a directional graph, where nodes are pickup points (termed as stoppage point in database) and crossings outside stoppage points and edges are roads among stoppage points and crossings. Each node has some information attached to it: stoppageld, stoppageName, latitude, longitude and number Of Passengers of the stop, maintenance organizations, and mark(s) of the crossing(s). All pickup points are connected by roads. These roads are considered as the edges of the graph. Edges also have information attached to it: road Id, source, destination, distance, time etc. We have selected Floyd Warshall algorithm to nd the shortest path between two stoppages. This algorithm works in two stages: in rst stage, it nds the shortest path between all stoppages, and in second stage it nds optimized route to visit some of these stoppages. The solution is displayed in the form of shortest distance and time between two locations. The program is written in java language. It uses 3 tables as input from database: nodes, vehicle details and road. This paper gives implementation outcome of Floyd Warshall algorithm to solve the all pairs shortestpath problem for directed road graph system. We have considered an example of a map of Pune.
机译:本文分析了在给定停靠点中确定最短路径和最佳路线的问题。问题的模型以有向图的形式表示,其中节点是拾取点(在数据库中称为停靠点),而停靠点外部的交叉点和边沿是停靠点和交叉点之间的道路。每个节点都附加有一些信息:stoppageld,stoppageName,纬度,经度和站点乘客数,维护组织以及过路处的标记。所有接送点均通过道路连接。这些道路被视为图形的边缘。边上还附有相关信息:道路ID,来源,目的地,距离,时间等。我们选择了Floyd Warshall算法来查找两个停靠点之间的最短路径。该算法分两个阶段工作:在第一阶段,它找到所有停工之间的最短路径,在第二阶段,它找到访问这些停工中的一些的最佳路线。解决方案以两个位置之间的最短距离和最短时间的形式显示。该程序是用Java语言编写的。它使用3个表作为来自数据库的输入:节点,车辆详细信息和道路。本文给出了Floyd Warshall算法的实现结果,以解决有向路标系统的所有对最短路径问题。我们考虑了一个浦那地图的例子。

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